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

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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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Applications of Firefly Algorithm and its Variants

of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman;

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Genetic Algorithms

, focusing on freeways and modern roundabouts. For both case studies, the genetic algorithm tool in MATLAB (R) was applied in order to reach the;

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Essential MATLAB for Engineers and Scientists

is also ideal for an engineering problem-solving course using MATLAB. Updated to include all the newer features through MATLAB R2021a

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The Disassembly Line

methodologies Exhaustive search Genetic algorithm Ant colony optimization Greedy algorithm Greedy/adjacent element hill climbing hybrid Greedy/2;

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Discrete Optimization for TSP-like Genome Mapping Problems

Genetic Mapping, Multilocus Consensus Genetic Mapping, and Physical Mapping. Each of the four sections contains the problem formulation;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for;

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Graph-related Optimization and Decision Support Systems

algorithms are the most appropriate way for generating high quality solutions. The authors thus propose, for each studied problem, a greedy algorithm;

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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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Self-Dual Z4-Modules

distance. Also we modify the greedy algorithm to anotherone called almost" greedy. By this algorithm we show that codes and self-orthogonal codes;

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Genetic Algorithms in Electromagnetics

A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms;

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The Traveling Salesman Problem

salesman problem. It sounds simple enough: given a set of cities and the cost of travel between each pair of them, the problem challenges you to;

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Optimization

Choose the Correct Solution Method for Your Optimization Problem Optimization: Algorithms and Applications presents a variety;

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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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MATLAB Software for the Code Excited Linear Prediction Algorithm

This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP;

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Image Reconstruction of a Manufacturing Process

Evolutionary Computation (EC) is one of the most attractive techniques in the area of Computer Science. EC includes Genetic Algorithms (GAs;

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Mastering Matlab 7 Pie

of MATLAB presented within an easy-to-follow 'learn while doing' tutorial format. All new features of the latest release of MATLAB are covered;

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Metaheuristics for Combinatorial Optimization

This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem;

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BDS GPS Dual Mode Software Receiver

on the author's extensive experience in GNSS receiver design. The MATLAB script developed for this book demonstrates most of the key theories;

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BDS GPS Dual Mode Software Receiver

on the author's extensive experience in GNSS receiver design. The MATLAB script developed for this book demonstrates most of the key theories;

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One Hundred Physics Visualizations Using Matlab (With Dvd-rom)

This book provides visualizations of many topics in general physics. The aim is to have an interactive MATLAB script wherein the user can;

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Adaptive Filtering

. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB (R) covers the core concepts of this important field, focusing on a vital part;

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Adaptive Filtering

. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB covers the core concepts of this important field, focusing on a vital part;

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Essential MATLAB for Engineers and Scientists

facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout;

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

path load. The genetic algorithm is used to find the optimal allocations. Genetic algorithm is used to find the optimal allocations.;

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