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Travelling Salesman Problem(tsp)Optimization Through Genetic Algorithm

Genetic Algorithm control parameters are analyzed and tuned to produce optimal results for Travelling Salesman Problem applications viz., VLSI;

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Discrete Optimization for TSP-like Genome Mapping Problems

This book introduces a discrete optimisation technique in four applications: classic Traveller Salesperson Problem (TSP), Multilocus;

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The Travel Salesman Problem (Greedy & Genetic algorithm) Matlab Script

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Parallele Heuristiken fur sehr grosse Travelling Salesman Probleme

Inhaltsangabe: Einleitung: Das Traveling Salesman Problem (TSP) besteht darin, fur eine gegebenen Mengen von Orten eine moglichst kurze;

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Genetic Algorithms

The aim of this book is to present state-of-the-art information regarding the practical applications of genetic algorithms. It discusses;

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Metaheuristics for Combinatorial Optimization

problem solving; combinatorial optimization; traveling salesman problem.;

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Genetic Algorithms and Genetic Programming

of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes;

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Genetic Algorithms and Genetic Programming

of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes;

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Multi-mode Active Vibration Control Using H Optimization MIMO Positive Position Feedback Based Genetic Algorithm

Multi-Mode Active Vibration Control Using H Optimization Mimo Positive Position Feedback Based Genetic Algorithm is een boek van Zhonghui;

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Parallel Problem Solving from Nature PPSN XVI

artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world;

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Parallel Problem Solving from Nature PPSN XVI

artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world;

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Nature-Inspired Computation and Swarm Intelligence

algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and othersProvides a;

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Optimization of Water Distribution Networks Using Genetic Algorithm

This study gives a description about the development of a computer model, RealPipe, which relates genetic algorithm (GA) to the well known;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;

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Mathematical Methods in Engineering

functional equations, optimization algorithm for traveling salesman problem, fractals, control, fractional calculus models, fractional discretization;

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Ant Colony Optimization

social insects can inspire the development of computational algorithms for the solution of tough mathematical problems. Introduced by Marco;

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Advances In Combinatorial Optimization

) as polynomial sized linear programs. Though developed based on the 'traveling salesman problem' (TSP), the framework allows for the;

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Discrete Cuckoo Search for Combinatorial Optimization

example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the;

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Discrete Cuckoo Search for Combinatorial Optimization

example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the;

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Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment

task allocation problem as a multi-objective optimization problem to consider system constraints. The goal programming technique is used with;

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Graph-related Optimization and Decision Support Systems

as a problem-specific heuristic and a genetic algorithm as a metaheuristic.;

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Genetic Algorithms + Data Structures = Evolution Programs

, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear;

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Genetic Algorithms + Data Structures = Evolution Programs

, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear;

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Models for Practical Routing Problems in Logistics

This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and;

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Optimization Techniques in Operation Research

programming. Transport and assignment problems. Game theory. Integer programming, including the travelling salesman problem. Goal programming;

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Simulated Annealing und verwandte Verfahren fur das Traveling Salesman Problem

Inhaltsangabe: Einleitung: Das Traveling Salesman Problem (TSP) wird mit heuristischen Verfahren naherungsweise gelost. Man kann das TSP;

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Advances in Swarm Intelligence

Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;

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