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Advances in Evolutionary Algorithms Research

Autor Gregor Papa PhD
en Limba Engleză Hardback – iun 2015
The field of evolutionary algorithms produces various theoretical approaches that help search for global optima within complex environments. These environments are often highly multidimensional, non-linear, noisy, and with many constraints. Not only one, but frequently several, even conflicting, objectives need to be met while searching for the optimal solutions. This book presents advances in the research and applications of evolutionary algorithms. There is a rich history of theoretical research and practical solutions in this field. Namely, evolutionary algorithms, with their intrinsic parallelism, have proved to be successful in a variety of problem domains in science, engineering and business. According to the no-free lunch theorem for optimisation no super algorithm exists for all optimisation problems. Therefore, the advances in this research field are also devoted to the identification of combination of problem classes and effective optimisation methods, as well as the innovative and hybrid implementations of the algorithms. This book consists of seven chapters covering the survey and theory on multimodal, multi-memetic and multi-objective properties and algorithm performance. Furthermore, the algorithms are applied to real-world mechanical, biological, and chemical problems, as well as to theoretical benchmarks.
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Specificații

ISBN-13: 9781634638494
ISBN-10: 1634638492
Pagini: 117
Dimensiuni: 155 x 230 x 15 mm
Greutate: 0.47 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)
Locul publicării:United States

Cuprins

Preface; Evolutionary Multimodal Optimization: A Short Survey; Towards Resilient Multimemetic Systems on Unstable Networks with Complex Topology; RSGA-Based Genetic Logic Circuit Design; Multi-Objective Optimization of Biobutanol Production: Continuous Fermentation Coupled with a Vacuum Separation Unit; Parallel Implementation of Scalarization Approaches for Multi-Objective Optımızatıon Problems; Developing LED Illumination Optics Design; Designing Mirrors for Ultrafast Lasers; Index.