multi-objective-optimization IEEE PAPER 2017
Designing multifunctional agro-landscapes: amulti - objective optimizationapproach
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Abstract: To counteract the pressures of intensive agricultural production systems on the environment there is increasing interest in habitat management to strengthen ecosystem services. By creation of flower strips and management of semi-natural habitats, farmers and
Multi - objective Optimizationwith Unbounded Solution Sets
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Abstract Machine learning often requires the optimization of multiple, partially conflicting objectives. Truemulti - objective optimization(MOO) methods avoid the need to choose a weighting of the objectives a priori and provide insights about the tradeoffs between the
A Framework for Large-scaleMulti - objective Optimizationbased on Problem Transformation
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Abstract In this work we propose a new method for solvingmulti - objective optimization problems with a large number of decision variables. The proposed method called Weighted Optimization Framework is intended to serve as a generic method that can be used with any
Multi - objective optimizationinvestigation of natural gas engine operating parameters using model-based methodologies
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Abstract: In order to improve the comprehensive performance of a heavy-duty natural gas engine, the paper developed a strategy to efficiently optimize operating parameters. An approximate mathematical model, which the input control variables were air-fuel ratio and
Metamodeling for multimodal selection functions in evolutionarymulti - objective optimization
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Abstract Most real-world optimization problems involve computationally expensive simulations for evaluating a solution. Despite significant progress in the use of metamodels for single-objective optimization, metamodeling methods have received a lukewarm
Recent advances in evolutionarymulti - objective optimization
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This book surveys the recent advances in the field of evolutionarymulti - objective optimization . In fact, most real problems are multi-objective in nature, ie they involve multiple conflicting objectives to be minimized or maximized simultaneously in limited resources. The
Multi Objective Optimizationof Cloud Computing Services for Consumers
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Abstract This paper presents a novel multi objective model for optimizing the purchase decision of a cloud computing services customer. The providers are typically offering consumers cloud computing varying information systems services. The cloud services
Experimental investigation andmulti objective optimizationfor wire EDM using Taguchis method
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Abstract-Composite materials and alloys have increased applications in many industries because of their good mechanical characteristics such as strength to weight; stiffness to weight, corrosion resistance, fatigue and thermal expansion compared with metals. Due to
A Rapid Algorithm for Multi-objective Pareto Optimization of Modular Architecture
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compromising effect on another. To investigate this, we explore using multiple metrics such as defined in the modular function deployment and consider modularization as amulti -objectiveoptimizationproblem. We develop here
Conceptualization of community-based integrated farming system model design withmulti - objective optimizationmanagement
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Effective utilization of land and water resources is attempted in the present study through an integrated farming system andmulti - objective optimizationmanagement framework model using goal programming algorithm in a coastal waterlogged paddy area in Odisha, India. A
Multi - objective optimizationanalysis for part-to-Printer assignment in a network of 3D fused deposition modeling
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(This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at
OnMulti - Objective Optimizationand Game Theory in Production Management
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Abstract: Service management includes two basic concepts: competition andmulti - objective optimization . In this paper, a dynamic model formulti - objective optimizationCournot game where there are two objectives is introduced. The two objectives to be simultaneously
Multi - objective Optimizationof Afghanistan Kabul City Distribution Network for Real-time Voltage Control and Power Loss Reduction
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Abstract Afghanistan Kabul City Distribution System (KDS) is functioning in adverse condition, and there is always programmed or un-programmed load shedding imposed by the Power Distribution Company. There are four indicators to be optimized for the
Energy RouteMulti - Objective Optimizationof Wireless Power Transfer Network: An Improved Cross-Entropy Method.
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This paper identifies the Wireless Power Transfer Network (WPTN) as an ideal model for long-distance Wireless Power Transfer (WPT) in a certain region with multiple electrical equipment. The schematic circuit and design of each power node and the process of power
AMulti - Objective Optimizationmodel for minimizing cost, travel time and CO2 emission in an AS/RS
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Amulti - objective optimizationof automated warehouses is discussed and evaluated in the present paper. Since most of the researchers in material handling community had performed optimization of decision variables with single objective function only (usually named with
Multi - objective Optimizationof Stirling Heat Engine Using Gray Wolf Optimization Algorithm
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ABSTRACT The use of meta-heuristic optimization methods have become quite generic in the past two decades. This paper provides a theoretical investigation to find optimum design parameters of the Stirling heat engines using a recently presented nature-inspired method
Multi - objective Optimizationfor Computer Security and Privacy.
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Abstract There is need for a scheme to ensure the security and privacy of the administrator and users. Providing security is different to providing privacy, because their goals differ. Security is based on organization goals, but privacy is based on user goals. Providing
Multi - Objective Optimizationof Kinematic Characteristics of Geneva Mechanism Using High-Tech Optimization Methods
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ABSTRACT. This research is aimed toward using variable input speed for triple-objective optimization of kinematic characteristics of a Geneva wheel mechanism. High-tech optimization methods including genetic algorithm (GA) and imperialist competitive algorithm
Multi - Objective Optimizationof University Bus Based on Passenger Probability Density Estimation
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Abstract In this paper, amulti - objective optimizationmodel is presented, based on Parzen Window method which can make a theoretical analysis of the probability density function of passengers and determine the demand over a corresponding period by integration. This
Multi-objective Hierarchical Particle Swarm Optimization of Linear Antenna Array with Low Side Lobe and Beam-Width
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The optimization technique is a very useful choice for achieving such a goal. In recent years, manymulti - objectiveoptimizationtechniques were used in the array analysis in several ways to optimize more than one parameter of the array.
Multi Objective Optimizationof Machining Parameters for AA7075 Metal Matrix Composite Using Grey-Fuzzy Technique
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Abstract Wire cut discharge Machining is an advanced machining method controlled by a variety of interrelated complex parameters like discharge current, pulse on time, pulse off time and servo speed rate. Any slight variations in one will have an effect on the machining
An Experimental Investigation towardsMulti Objective Optimizationduring Hard Turning of Tool Steel Using a Novel MCDM Technique
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Abstract Environmental and Ecological issues call for the reduction in usage of cutting fluids in metal cutting industry. New techniques are being inquired to achieve this objective. Hard turning with minimum quantity lubrication is one such technique which can alleviate the
Multi - Objective Optimizationof an SRF Photoinjector for ERL and UED Applications
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Abstract Superconducting radio frequency (SRF) photoinjectors, running in continuous-wave (cw) mode, are able to generate electron beams of high average brightness and ultrashort bunches. Therefore, they satisfy the requirements of future accelerator facilities, such as
A Study on Applying InteractiveMulti - objective Optimizationto Multiagent Systems
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Abstract Constraint optimization problems in multiagent systems have been studied as fundamental problems of decision making and resource allocation. When each agent has its own specific interest in a problem, that task is defined as a multiobjective optimization
Multi-Objective Teaching Learning Based Optimization Technique for Loss Reduction and Fast Voltage Stability Index Minimization
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have also been discussed. The tests have been carried out on an IEEE 30 bus system. Key Words:Multi - Objectiveoptimization , voltage stability, Reactive power compensation, FVSI, FACTS 1. INTRODUCTION With the ever
A FAST FUZZY-TUNEDMULTI - OBJECTIVE OPTIMIZATIONFOR SIZING PROBLEMS
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ABSTRACT The most recent approaches ofmulti - objective optimizationconstitute application of metaheuristic algorithms for which, parameter tuning is still a challenge. The present work hybridizes swarm intelligence with fuzzy operators to extend crisp values of the
Multi-Objective Structural Design Optimization using Neutrosophic Goal Programming Technique.
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Page 1. Mridula Sarkar,Samir Dey,Tapan Kumar Roy, Multi-Objective Structural Design Optimization using Neutrosophic Goal Programming Technique Multi-Objective Structural Design Optimization using Neutrosophic Goal Programming Technique
Bi-objective intelligent water drops algorithm to a practical multi-echelon supply chain optimization problem
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transportation cost. Godichaud and Amodeo [33] proposed a supply chain model based on simula- tion andmulti - objectiveoptimizationin order to optimize control policies for multi-echelon SC with returned products. Khatami et al. [34
The Use of Multi-Objective Genetic Algorithms for Accelerator and Light Source Optimization
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The article deals with the application ofmulti - objectiveoptimizationusing genetic algorithms for accelerators and light sources. Nowadays, genetic algorithms are powerful computing tool to solve different multidimensionalmulti - objectiveoptimizationproblems.
An Agent-Based Co-Evolutionary Multi-Objective Algorithm for Portfolio Optimization
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Abstract: Algorithms based on the process of natural evolution are widely used to solve multi - objectiveoptimizationproblems. Keywords: portfolio optimization;multi - objectiveoptimization ; agent-based co-evolutionary algorithms; co-evolutionary algorithms; genetic algorithms
THE AIRPORT GATE ASSIGNMENT PROBLEMMULTI - OBJECTIVE OPTIMIZATIONVERSUS EVOLUTIONARY MULTI-OBJECTIVE
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Abstract In this paper, we approach the Airport Gate Assignment Problem by Multiobjective Optimization as well as EvolutionaryMulti - objective Optimization . We solve a bi-criteria formulation of this problem by the commercial mixedinteger programming solver CPLEX and
Multi-Objective Online Optimization of Beam Lifetime at APS
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OVERVIEWMultiobjectiveoptimizationmethods and techniques are widely used [1] (see a review in [1]) in many aspects of engineering and physics studies, including the genetic al- gorithms [2, 3]. Starting in 2005 [4, 5], accelerator and beam applications became widespread.
Multi-Objective Welded Beam Optimization using Neutrosophic Goal Programming Technique
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function. This does not always hold good in real world problems where multiple and conflicting objectives frequently exist. In this consequence a methodology known asmulti - objectiveoptimization(MOSO) is introduced So to
Prediction and Optimization of Multi Objective Parameters in CNC Turning Operation on H-13 Material by using RSM
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The industries have to concern about a number of performance characteristics simultaneously because focus on a single objective may appear as loss for rest of the objectives and hence multi - objectiveoptimizationtechniques may be suitable for experimentation.
Multi - objective optimizationvia visualization
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Abstract This paper presents a very simple and intuitivemulti - objective optimizationmethod that makes use of interactive visualization techniques. Multiple views of the potential solutions on scatterplots allow the user to directly search acceptable solutions in biobjective
MultiObjective Optimizationof Machining Conditions on Surface Roughness and MRR during CNC End Milling of Aluminium Alloy 7075 Using Taguchi Design
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In this research, an experimental investigation of the machining characteristics of Aluminium Alloy 7075 T6 in CNC milling machine using High Speed Steel (HSS) cutting tool had been carried out. In machining operation, the quality of surface finish is an important requirement
Multi - Objective Optimizationof friction stir welded dissimilar aluminium composites using grey analysis
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Abstract This paper focus on optimization of Friction Stir Welding (FSW) process parameters for joining of disparate aluminium composites using hybrid approach. The FSW process parameters considered are tool rotational speed, tool profile, axial force and aluminium
A Survey on Multi-objective Regression Test Optimization
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Normalization and Other Topics inMultiObjective Optimization . Proceedings of the Fields-MITACS Industrial Problems Work shop, 2: 89 101, 2006. [6] M. Harman. The current state and future of search based software engineering.
Multi - Objective OptimizationTechniques using ANSYS-CFX-DesignXplorerTM. Case Study: Optimization of Static Mixer
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Page 1.Multi - ObjectiveOptimizationTechniques using ANSYS-CFX-DesignXplorerTM. Case Study: Optimization of Static Mixer 1 July-2017 Lecturer: Luis R. Rojas-Solórzano, Ph.D. 4. Parameters Correlation to support DoE 5. Response Surface Methods (RSM) 6. Six Sigma
A Co-Evolutionary Particle Swarm Optimization with Dynamic Topology for SolvingMulti - Objective OptimizationProblems
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Abstract This paper proposes a multi-objective with dynamic topology particle swarm optimization (PSO) algorithm for solving multi-objective problems, named DTPSO. One of the main drawbacks of classical multi-objective particle swarm optimization algorithm is low
Multi - Objective Optimizationof Non-Sequential ANFIS Models for the Forecast of Typhoon Inundation
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Abstract Accurate forecasts on the inundation level in a typhoon event is important for damage mitigation measures. A methodology which integrates non-sequential Adaptive Neuro Fuzzy Inference System (ANFIS) and Multi-Objective Genetic Algorithm (MOGA) for
MULTI - OBJECTIVE OPTIMIZATIONON THE BASIS OF RATIO ANALYSIS (MOORA) METHOD FOR ACTIVATED TIG WELDED STAINLESS STEEL PLATE
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ABSTRACT Activate TIG (Tungsten Inert Gas) welding is used to enhance the weld penetration with high degree of quality. In A-TIG welding fluxes are mixed with acetone and applied on the weld surface before welding. In this work, A-TIG welding process is carry out
MULTI OBJECTIVE OPTIMIZATIONOF A NOVEL SOLAR AND GEOTHERMAL DRIVEN MICRO-ORC-TRIGENERATION CYCLE USING THE NSGA-II
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ABSTRACT This work proposes a new trigeneration system based on solar and geothermal energies. The desired system is integrated with flat plate solar collectors to absorb the solar radiation. While copper oxide (CuO) nanoparticles suspended in pure water are applied as
RSM basedMulti - Objective Optimizationof Swirling Flow Condensation Heat Transfer and Pressure Drop
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ABSTRACT The heat transfer augmentation during condensation of refrigerant inside tube facilitates greater heat flux with restricted space. Twisted tape inserts a passive method of heat transfer augmentation, increase heat transfer coefficient and at the same time pressure
Multi - objective Optimizationin CNC Turning Process using Taguchi Method
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Abstract: Machining process is the most important operations in many manufacturing industries. One of the important parts of machining is turning process. Turning is a manufacturing process where the excess of material is removed from the work-piece.
Multi - objective Optimizationof Condensation Heat Transfer inside Horizontal Tube using Particle Swarm Optimization Technique
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Abstract In this paper, heat transfer coefficient and frictional pressure drop during condensation of refrigerant inside a smooth tube are formulated as a multi-optimization problem and solved using particle swarm optimization (PSO) algorithm. The objective of this
Multi-Objective Topology Optimization of Electrical Machine Designs using Evolutionary Algorithms with Discrete and Real Encodings
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Drives and Power Electronics, Johannes Kepler University of Linz, Austria 3 LCM, Linz Center of Mechatronics, Linz, Austria Workshop: Theory and Applications of Metaheuristic Algorithms Keywords: evolutionary algorithms,multi - objectiveoptimization , discrete encoding, real
Optimum Design for Conflicting Objective of a Composite Helical Spring by Multi Optimization Technique (Particle Swarm Optimization)
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Taking the automobile suspension helical spring as the research object, by using Pareto optimization theory and particle swarm optimization algorithm, the paper establishes a multi - objectiveoptimizationmodel of automobile suspension helical spring which is based on
Multi-objective Cylindrical Skin Plate Design Optimization based on Neutrosophic Optimization Technique
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The test problem includes skin plate of vertical lift gate subjected to hydraulic load condition. This multi-objective structural optimization model is solved by fuzzy, intuitionistic fuzzy and neutrosophicmulti -objectiveoptimizationtechnique.
SOCEMO: Surrogate Optimization of Computationally Expensive Multi-Objective Problems Code Manual
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Abstract SOCEMO is an optimization algorithm for solving computationally expensive, black-box, multi - objectiveoptimizationproblems. This code manual describes the MATLAB code and how you can use SOCEMO to solve yourmulti - objectiveoptimizationproblems.
Optimization of Shear Wave Velocity (Vs) From a Post-Liquefaction Settlement Using a Genetic Algorithm Multi-Objective NSGA II
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of solutions Fobj Objective function Fobj1, Fobj2 First and second objective functions LB Lower boundary N Number of members in population N60 Standard penetration test blow counts with corrected energy P0 Initially population POMOMulti - objectiveoptimizationproblem.
Multi - Objective Optimizationof the Composite Sheets Using PSO Algorithm
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Despite advanced and fast computers which are available in the market, presenting the courses of faster and more accurate solutions of amny engineering problems such as those emerging in the field of aerodynamics is one of the main trouble in this domain yet. However,
Multiple Core Execution of Kernel P system-Multi Objective Binary Particle Swarm Optimization Feature Selection Method
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2.2 The MObPSO Approaches Optimization problems with multiple goals or objectives are referred to asmulti - objectiveoptimization(MOO) problems.Multi - objective optimizationhas been vastly used in evolutionary algorithms [11].
Using Binary Multi Objective Particle Swarm Optimization for energy-saving in Smart Home environments
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Binary Particle Swarm Optimization, Smart Home, Energy saving,MultiObjectiveOptimization , Recommendation, Energy Usage Profiles, Smart Home user comfort. [2], performsmulti -objective optimizationtechniques to recommend profiles of appliance usage as weeks.
Multi - objective optimizationof laminated plates under a non-uniform in-plane load for maximize buckling load
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Abstract-This paper presents a Multi-objective optimal design of simply supported asymmetric laminated composite rectangular plates subjected to linearly varying in-plane static loads for which the critical failure mode is buckling. The aim of the multi-objective
Optimization of Multi-Objective Dynamic Economic Dispatch Problem Using Knee Point Driven Evolutionary Algorithm
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Amulti - objectiveoptimizationproblem always involves a number of conflicting objectives, which gives rise to number of conflicting optimal solutions, known as Pareto optimal solutions and to choose one solution for a multi-criteria problem is a critical decision to make.
Multi - objective Optimizationof a New Sustainable Methanol Plant with Cogenerated Energy
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Abstract Contemplating the situation of biofuels, the objective of this work is to investigate the techno-economic feasibility of methanol synthesis using carbon dioxide captured as an output of fermentation process in bioethanol production distilleries, carrying out an
Intuitionistic Fuzzy Multi Objective Structural Optimization using Non-linear Membership Functions
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Page 1. International Journal of ComputerOrganization Trends (IJCOT)Volume 41 Number 1- March 2017 ISSN: 2249-2593 http://www.ijcotjournal.org Page 14 Intuitionistic Fuzzy Multi Objective Structural Optimization using Non-linear Membership Functions Samir Dey
Fuzzymulti - objective optimizationof linear functions subject to max-arithmetic mean relational inequality constraints
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Abstract. The main goal of this work is to nd a better solution to a kind of multiobjective optimization problem subject to a system of fuzzy relational inequalities with max-arithmetic mean composition. First, this problem is solved and, then, in the case that the decision
Multi-objective Particle Swarm optimization and Genetic algorithm in Inventory model for deteriorating items with shortages using Supply Chain management
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capacity adversely. Such problems are known asmulti - objectiveoptimization(MOO). Multi - objectiveoptimizationis the process of systematically and simultaneously optimizing a number of objective functions. Multiple objective
R-Metric: Evaluating the Performance of Preference-Based EvolutionaryMulti - Objective OptimizationUsing Reference Points
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Abstract: Measuring the performance of an algorithm for solvingmulti - objective optimization problem has always been challenging simply due to two conflicting goals, ie, convergence and diversity of obtained trade-off solutions. There are a number of metrics for evaluating the
Set-based Min-max and Min-min Robustness for Multi-objective Robust Optimization
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the decision makers, who are not ultimately pessimistic. KeywordsMulti - objective Optimization , RobustMulti - objectiveOptimization , Set-based Robust Efficiency 1. Introduction and Literature Review Many practical problems
Multi - objective Optimizationof a Printed Circuit Heat Exchanger Design
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ABSTRACT Due to their high effectiveness and compact size, printed circuit heat exchangers (PCHEs) appear promising to be employed as intermediate heat exchangers (IHXs) in High-Temperature Gas-cooled Reactors (HTGRs). In the literature, PCHEs of
Multi - objective optimizationapplied to minimize the cost and the environmental impact of a building: An Irish case study
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1. Abstract Today when developing building projects specialists require general and operational knowledge. Many energy efficiency strategies can improve the energetic performance of a building improving also the environmental impact and without
Multi - objective optimizationof surface parameters such as concavity, straightness and roughness in milling process
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Abstract Durability along with higher number of operating cycles has become pertinent to industries for all of their operating components. Surface quality is a crucial parameter in evaluating the durability and productivity of these components. The machining parameters
PARAMETER METHOD TO NONLINEAR, SOIL-STRUCTURE INTERACTING DYNAMIC SYSTEMS BY MEANS OF AMULTI - OBJECTIVE OPTIMIZATION
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Abstract. The computational demands of the soil structure interaction analysis in scenarios such as the seismic risk assessment of a structure has led the civil engineering community to the development of a variety of methods towards the model order reduction of the
MULTI-OBJECTIVE STRUCTURAL DESIGN OPTIMIZATION USING GLOBAL CRITERION METHOD
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loaded three-bar planar truss subjected to stress ( ) 1 2 , i AA σ constraints on each of the truss members 1,2,3 i = . Figure 1: Design of the three-bar planar truss Themulti - objective optimizationproblem can be stated as follows: Page 5. 419 | P age ( ) ( ) (
Artificial Neural Network basedMulti - objective Optimizationusing Genetic Algorithm for Single Cylinder CI Engine Emission and Performance Parameters using
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Abstract: In view of the limited accessibility and environmental concerns of diesel, biodiesel is one of the promising alternative fuels for CI engine. This research work investigates the influence of engine fuel injection pressure on the emissions and performance of a single
Set-based Min-max and Min-min Robustness for Multi-objective Robust Optimization
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makers, who are not ultimately pessimistic. KeywordsMulti - objectiveOptimization , RobustMulti - objectiveOptimization , Set-based Robust Efficiency 1 Introduction and Literature Review Many practical problems in engineering
Multi-Objective Thermal Desing Optimization of a Shell and Tube Condenser through Global Best Algorithm
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(Alinis / Received: 23.11.2016, Kabul / Accepted: 23.03.2017, Online Yayinlanma / Published Online: 02.05.2017) Keywords Global Best Algorithm,Multiobjective optimization , Shell and tube heat exchanger, Thermal design
AN INTRODUCTION TO MULTI-OBJECTIVE SIMULATION OPTIMIZATION
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under- developed area. The MOSO problem is a nonlinearmulti - objectiveoptimization (MOO) prob- lem in which multiple simultaneous and conflicting objective functions can only be observed with stochastic error. The solution CSE PROJECTS