Advances in Evolutionary Algorithms Research

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.

Table of Contents:
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 Optimization Problems; Developing LED Illumination Optics Design; Designing Mirrors for Ultrafast Lasers; Index.

About the Author :
Gregor Papa received the Ph.D. degree in Electrical Engineering from the University of Ljubljana, Slovenia in 2002. He is a Researcher at the Computer Systems department, Joef Stefan Institute, Ljubljana, Slovenia, since 1997. His research interests include optimization techniques, metaheuristic algorithms, and hardware implementations of high-complexity algorithms. He is also an Assistant Professor at the Joef Stefan International Postgraduate School, Ljubljana, Slovenia. He is giving lectures on graduate courses Hardware/Software Codesign and Computer Structures and Systems. His research work is published in international journals and conference proceedings. He co-organized several important international scientific conferences related to bio-inspired computation. He led and participated in national and European projects, and is actively involved in European research projects. He is a member of the IEEE and ACM.