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A Brief Introduction to Continuous Evolutionary Optimization

with evolutionary algorithms in continuous solution spaces. The book gives an introduction to evolution strategies and parameter control;

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Evolutionary Algorithms

suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators;

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Evolutionary Constrained Optimization

to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic;

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An Introduction to Continuous Optimization: Foundations and Fundamental Algorithms, Third Edition

optimization problems. Starting with a brief Introduction, the text covers fundamentals, optimality conditions, linear programming, and;

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Advances in Learning Automata and Intelligent Optimization

necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief;

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Particle Swarm Optimization

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary;

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Evolutionary Computation with Biogeography-based Optimization

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO;

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General-Purpose Optimization Through Information Maximization

introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings;

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General-Purpose Optimization Through Information Maximization

introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings;

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Evolutionary Learning

evolutionary algorithms to address optimization problems in machine learning, and has yielded encouraging outcomes in many applications. However, due;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

begins with an introduction to relative optimization, including a comparison with the traditional approach of dynamic programming. The text then;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

begins with an introduction to relative optimization, including a comparison with the traditional approach of dynamic programming. The text then;

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Riemannian Optimization and Its Applications

problems in other fields. To provide the reader with a smooth introduction to Riemannian optimization, brief reviews of mathematical;

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Parallel Problem Solving from Nature -- PPSN XIV

included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary;

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MultiObjective Optimization using Evolutionary Algorithms

areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017;

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Evolutionary Computation

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single;

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Evolutionary Computation

Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single;

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Applied Evolutionary Algorithms for Engineers using Python

sound starting point for those intending to apply evolutionary algorithms to optimization problems in their working fields. Python has been;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

evolutionary algorithms and their application to the optimization of optical systems. This book, which is divided into four parts, illustrates the;

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Optimization

This self-contained textbook is an informal introduction to optimization through the use of numerous illustrations and applications. The;

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Evolutionary Multi-Objective System Design

methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems;

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Evolutionary Multi-Objective System Design

methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems;

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Fundamentals of Computational Swarm Intelligence

Fundamentals of Computational Swarm Intelligence provides a comprehensive introduction to the new computational paradigm of Swarm;

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Intelligent System Applications In Power Engineering

techniques in electric power systems. It provides a treatment of evolutionary programming and neural network applications to power system;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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