Read Evolutionary Optimization Algorithms

Evolutionary Optimization Algorithms

Altaf Q H Badar

4.9/5 (22857 ratings)

Description:This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems.The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software's like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm.Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text:Provides step-by-step solution for each evolutionary optimization algorithm.Provides flowcharts and graphics for better understanding of optimization techniques.Discusses popular optimization techniques include particle swarm optimization and genetic algorithm.Presents every optimization technique along with the history and working equations.Includes latest software like Python and MATLAB.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Evolutionary Optimization Algorithms. To get started finding Evolutionary Optimization Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1000462145

Description: This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems.The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software's like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm.Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text:Provides step-by-step solution for each evolutionary optimization algorithm.Provides flowcharts and graphics for better understanding of optimization techniques.Discusses popular optimization techniques include particle swarm optimization and genetic algorithm.Presents every optimization technique along with the history and working equations.Includes latest software like Python and MATLAB.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Evolutionary Optimization Algorithms. To get started finding Evolutionary Optimization Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Evolutionary Optimization Algorithms

Evolutionary Optimization Algorithms

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