GENETIC ALGORITHM-2020
A genetic algorithm is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation.
Application of a genetic algorithm to the keyboard layout problem.
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The number of people who use computers for business and personal purposes increases as technology grows. The application of ergonomic practices on computer workstations reduces the musculoskeletal discomfort experienced and increases the overall satisfaction
Golden chip free Tro detection leveraging probabilistic neural network with genetic algorithm applied in the training phase
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Dear editor, Hardware Tro has become a serious threat to the trustworthiness of critical applications . Among all existing detection approaches, golden chip-free Tro detection approaches have attracted wide attention in . Recently, various supervised learning
Reliability/Economic/GHG implications of Grid-Connected Wind Energy System Based on Genetic Algorithm
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Greenhouse gas, economic, and reliability issues are becoming more important for the emerging wind markets worldwide. With the interconnection of wind energy system into the electric grid, the fluctuating nature of the energy produced has a different effect on the
Optimum Design of Liquified Natural Gas Bi-lobe Tanks using Finite Element, Genetic Algorithm and Neural Network
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A comprehensive set of ten artificial neural networks is developed to suggest optimal dimensions of type CBi-lobe tanks used in the shipping of liquefied natural gas. Multi- objective optimization technique considering the maximum capacity and minimum cost of
A Genetic Algorithm Approach for Discovering Fuzzy Hierarchical Censored Classification Rules (FHCCRs).
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Most of the classification algorithms discover flat Fuzzy Classification Rules (FCRs) in If- Thenform. The knowledge discovered in the form of FCRs allows us to deal with vague, inexact and incomplete premises, however, it ignores exceptions and hierarchies that may
A genetic algorithm for the optimal design of a multistage amplifier
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The optimal sizing of analog circuits is one of the most complicated processes, because of the number of variables taken into, to the number of required objectives to be optimized and to the constraint functions restrictions. The aim is to automate this activity in order to
Network Optimization using Multi-Agent Genetic Algorithm
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This paper present an innovative technique based on multi-agent genetic algorithm for optimization of a network. We unify agent system with genetic algorithm and applied to solve multi-objective problem optimization. In this algorithm an agent illustrate a candidate results
Priority Dispatching Rules for Virtual Manufacturing Using Genetic Algorithm
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The current research concentrates on designing and applying an intelligent information system by the use of (Oracle) language based Multi-Agents manufacturing process to produce a new product. Every agent (user) has its own roles and privileges. The research
IMPLEMENTATION AND MODIFICATION OF THE SCHEME BM 25 USING GENETIC ALGORITHM
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The article describes the technologies of genetic algorithms for searching information on the Internet. The amount of electronic information is growing at a tremendous pace. In such situation, the need for data retrieval and analysis systems has sharply increased, and the
Multiobjective Optimization of MPLS-IP Networks with a Variable Neighborhood Genetic Algorithm
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The demand for different levels of Quality of Service (QoS) in IP networks is growing, mainly to attend multimedia applications. However, not only indicators of quality have conflicting features, but also the problem of determining routes covered by more than two QoS
Optimal UAV Positioning for a Temporary Network Using an Iterative Genetic Algorithm
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Efficient arrangement of UAVs in a swarm formation is essential to the functioning of the swarm as a temporary communication network. Such a network could assist in search and rescue efforts by providing first responders with a means of communication. We propose a
QUANTUM THREE-PASS PROTOCOL AUTHENTICATION WITH GENETIC ALGORITHM BASED HILL-CIPHER ALGORITHM FOR NETWORK SECURITY
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In present times, the study of security in computer networks is a quickly growing area of interest due to the creation of networks and the scarcity of security measures in numerous existing networks. Cryptography is the science of defense of confidential data from illegal
Optimized Graph cut Color Image Segmentation Using Genetic Algorithm with Weighted Constraints (OGcut)
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This paper proposes a Novel color image segmentation using Graph cut method by minimizing the weighted energy function. This method is applying a pair of optimal constraints namely: color constraint and gradient constraint. In the state-of-the-art methods
COB-2019-1386 Winglet Design Optimization Using A Multi-Objective Genetic Algorithm
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This project proposes a method for the design of a Blended Winglet configuration using a Multi-Objective Genetic Algorithm aided with AVLs VLM aerodynamic evaluations and takeoff estimations using an iterative algorithm . The results obtained with the evaluated
Optimized Curvelet Based Image Fusion Technique Using Hybrid Genetic -Grey Wolf Algorithm
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This Paper aims to develop the image fusion technique using Curvelet and Wavelet Transform using optimised scaling technique using Hybrid- Genetic Grey Wolf optimisation algorithm . The MRI images with two modalities are fused in a controlled environment using