Advances in Evolutionary Algorithms Research


Series: Computer Science, Technology and Applications
BISAC: COM014000

The field of evolutionary algorithms produces various theoretical approaches that help search for global optima within complex environments. These environments are often highly multidimensional, nonlinear, 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 optimization no super algorithm exists for all optimization problems. Therefore, the advances in this research field are also devoted to the identification of combination of problem classes and effective optimization 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, multimemetic and multiobjective properties and algorithm performance. Furthermore, the algorithms are applied to real-world mechanical, biological, and chemical problems, as well as to theoretical benchmarks.

(Imprint: Nova)

Table of Contents

Table of Contents


Evolutionary Multimodal Optimization: A Short Survey
(Ka-Chun Wong, Department of Computer Science, University of Toronto, Canada)

Towards Resilient Multimemetic Systems on Unstable Networks with Complex Topology
(Rafael Nogueras, Carlos Cotta, ETSI Informática, Universidad de Málaga, Campus de Teatinos, Málaga, Spain)

RSGA-Based Genetic Logic Circuit Design
(Chia-Hua Chuang and Chun-Liang Lin, Department of Electrical Engineering, National Chung Hsing University, Taiwan, ROC)

Multi-Objective Optimization of Biobutanol Production: Continuous Fermentation Coupled with a Vacuum Separation Unit
(Aida S. Rohani, Jules Thibault, and Poupak Mehrani, Department of Chemical and Biological Engineering, University of Ottawa, Canada)

Parallel Implementation of Scalarization Approaches for Multi-objective Optımızatıon Problems
(Eren Akca, Ökkeş Tolga Altınöz, Asım Egemen Yılmaz, Havelsan A.S., Ankara, Turkey, and Ankara University, Electrical and Electronics Engineering, Ankara, Turkey)

Developing LED Illumination Optics Design
(David Kaljun, Janez Žerovnik, Faculty of Mechanical Engineering, University of Ljubljana, Slovenia, and other)

Designing Mirrors for Ultrafast Lasers
(Rafał Biedrzycki, Jarosław Arabas, Michał Szymański, Institute of Electronic Systems, Warsaw University of Technology, Poland, and other)


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