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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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Multimodal Optimization by Means of Evolutionary Algorithms

, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he;

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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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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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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several;

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MultiObjective Optimization using Evolutionary Algorithms

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Genetic and Evolutionary Methods

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that;

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Emerging Evolutionary Algorithms for Antennas and Wireless Communications

emerging EAs and their variants. Chapter 1 introduces the optimization methods in general and the evolutionary algorithms. Chapter 2 presents;

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Evolutionary Algorithms For Mobile Ad Hoc Networks

involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting;

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Evolutionary Optimization Algorithms

with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization;

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Evolutionary Algorithms In Engineering And Computer Science

Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela;

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Evolutionary Data Clustering

-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering;

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Multi-Objective Optimization Using Evolu

. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have;

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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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Artificial Evolution

papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co;

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Evolutionary Programming IV

in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation;

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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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Evolutionary Algorithms and Neural Networks

optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Data-Driven Evolutionary Optimization

seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms;

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Socio cultural Inspired Metaheuristics

book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021;

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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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