ENGINEERING RESEARCH PAPERS

MULTI OBJECTIVE OPTIMIZATION IEEE PAPER 2018




Multi Objective Optimization
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A Survey on Modeling and Optimizing Multi Objective Systems.IEEE Communications Surveys Tutorials MOO Solution Techniques Scalarization-based MOO Formulation Meta-heuristics

A Novel Fuzzy Approach for Multi objective Optimization of Distribution Network Configuration in Complex System
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ABSTRACT This paper discusses new techniques for solving network configuration problems with the presence of distributed generation (DG). The technique used is fuzzy logic based technique for multi objective optimization of distribution network configuration in complex

Finite Element Crushing Analysis, Neural Network Modelling and Multi Objective Optimization of the Honeycomb Energy Absorbers.
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ABSTRACT : The thin-walled honeycomb structures are one of the most common energy absorber types. These structures are of particular use in different industries due to their high energy absorption capability. In this article, the finite element simulation of honeycomb

Study of Biometric Classification Using Speed-Constrained Multi Objective Particle Swarm Optimization Algorithm
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ABSTRACT In biometric identification area, many useful model-based techniques are executed such as neural networks and support vector machines. The proposed descriptor is tested on standard benchmark databases related to user biometric identification like UCI/Statlog and

Mean-variance-kurtosis hybrid multi objective portfolio optimization model with a defined investment ratio
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ABSTRACT . The mean-variance technique has played an important role in the development of modern portfolio selection theory. In comparison with the single objective optimization the utilization of multi objective optimization is increased, to solve the complex multiple

Joint entropy and multi objective evolutionary optimization of water distribution networks
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ABSTRACT It is essential to consider resilience when designing any water distribution network and surrogate measures of resilience are used frequently as accurate measures often impose prohibitive computational demands in optimization algorithms. Previous design

Multi Objective Optimization to Find The Shortest Paths Tree Problem in The Computer Networks
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ABSTRACT : The shortest paths tree problem when considering cost and bandwidth constraints is addressed in this paper as multiobjective shortest paths tree problem. A multi objective genetic algorithm is suitable to solve the presented problem. Therefore, this paper presents

K-means cluster algorithm-based evolutionary approach for constrained multi objective optimization
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ABSTRACT One of the most popular approaches for generating non-dominated solutions of a multi objective optimization problem is the evolutionary algorithms. The need of an approximation to the nondominated set for the decision maker for selecting a final preferred

Multi Objective Optimization of Bi-Layer Metallic Sheet Using Pareto-Based Genetic Algorithm
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ABSTRACT . The bi-layer materials have been used widely during past decades due to their specific characteristics like lighter weight, more corrosion resistance, and insulation features in comparison with mono-layers which consisting them. In this research the aim is achieving

A FAST FUZZY-TUNED MULTI OBJECTIVE OPTIMIZATION FOR SIZING PROBLEMS
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ABSTRACT The most recent approaches of multi objective optimization constitute 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

Comparing many- objective robust decision making and multi objective robust optimization for the lake problem
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Methods for decision making under deep uncertainty (DMDU) have attracted increasing interest in the context of problems such as climate adaptation, and more generally for the management of environmental systems. In contrast topredict-then-actmanagement

Chaos Adaptive Improved Particle Swarm Optimization Algorithm and its Multi objective Optimization Solution
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ABSTRACT To overcome the problem of premature convergence on particle swarm optimization (PSO), this paper proposes an improved particle swarm optimization method (IPSO) that based on self-adaptive regulation strategy and chaos theory. For a given the effective

Application of Multi Objective Optimization on The Basis of Ratio Analysis (MOORA) in Strategic Location Marketing
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ABSTRACT Determination of the location or area of marketing is a very decisive process of success in the sale of a product to be marketed. The best marketing does not mean there are no competitors in the location. The presence of a competitor in a marketing location can

MULTI OBJECTIVE OPTIMIZATION FOR AN ENHANCED MULTICORE SNIPER SIMULATOR
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ABSTRACT . In this paper we present a four objectives automatic design space exploration methodology for the Sniper multicore simulator using our multi objective optimization tool called FADSE. Our target was to search for the quasi-optimal Pareto CPU microarchitectures

Multi Objective Optimization for Clustering with Evolutionary Systems A
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ABSTRACT : Clustering is a prevalent unsupervised data mining technique for subdividing the given data set into homogeneous groups based on similarity metrics. The traditional clustering algorithms used by many researchers to optimize a single objective function

Design and Implementation of an Optimal PV Refrigeration System in the Smart Grid Considering Multi Objective Optimization
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ABSTRACT : Today, optimization in power systems is an unavoidable necessity. Energy intensity reduction in electrical devices and enhancement of their efficiency and performance, electricity loss reduction and voltage profile improvement of the power grid are some

Multi Objective Optimization of Laser Cutting Process Parameters for Mild Steel
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ABSTRACT Laser cutting is a popular process, which finds wide application in various manufacturing industries because of its precision of operation and low cost. Laser cutting, being a non-contact process, does not involve any mechanical cutting forces and tool wear

SCHEDULING OF MULTISTATIC SONOBUOY FIELDS USING MULTI OBJECTIVE OPTIMIZATION
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ABSTRACT Sonobuoy fields, comprising a network of transmitters and receivers, are commonly deployed to find and track underwater targets. For a given environment and sonobuoy field layout, the performance of such a field depends on the scheduling, that is

A New Multi Objective QoS Multicast Routing Protocol Based on Ant Colony Optimization for Mobile Ad Hoc Networks
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ABSTRACT In this paper, we modified our previous published protocol SROQRP, Stable and Reliable On-Demand QoS Routing Protocol based on Ant Colony Optimization for mobile Ad-hoc networks (MANET), to support group oriented routing. The advent of

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCESRESEARCH TECHNOLOGY MULTI OBJECTIVE OPTIMIZATION DURING ABRASIVE WATER
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ABSTRACT This paper investigates the optimal setting of process parameters such as traverse speed, abrasive flow rate and standoff distance which influences the surface roughness and material removal rate during Abrasive water Jet machining of Monel-400

Water, Energy, and Food Nexus Simulation: Multi Objective Optimization for Resources Security
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Page 1. Water, Energy, and Food Nexus Simulation: Multi ObjectiveOptimization for Resources Security 2017 . 10 . 20 . Albert Wicaksono Ph.D. Student, Dept. of Civil Engineering Gimoon Jeong Graduate Student, Dept. of Civil Engineering Doosun Kang Associate Prof., Dept. of

A new multi objective algorithmfor optimization of modern machining processes
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The MO-Jaya algorithm is a posteriori version ofJaya algorithm for solving multi objective optimization problems. The solutions in the MO-Jaya algorithm are updated in the similar manner as in the Jaya algorithm based on Eq.(1). However, in order to handle multiple

Robust Multi Objective Optimization of Solid Oxide Fuel Cell Gas Turbine Hybrid Cycle and Uncertainty Analysis
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Page 1. 1 Robust Multi ObjectiveOptimization of Solid Oxide Fuel Cell Gas Turbine Hybrid Cycle and Uncertainty Analysis Shivom Sharma1 Industrial Process and Energy Systems Engineering cole Polytechnique F d rale de Lausanne, EPFL, CH-1951 Sion, Switzerland

Green Vehicle Routing Optimization Based on Carbon Emission and Multi objective Hybrid Quantum Immune Algorithm
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ABSTRACT : Green Vehicle Routing Optimization Problem (GVROP) is currently a scientific research problem that takes into account the environmental impact and resource efficiency. Therefore, the optimal allocation of resources and the carbon emission in GVROP is

Optimal Flow of Active Power with Pollution Control Using Multi objective Particle Swarm Optimization Techniques
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ABSTRACT -This paper gives the solution of optimal power flow (OPF) problem of medium-sized power systems via an artificial intelligence algorithm. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based power
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