Nature-Inspired Methods for Metaheuristics Optimization
Algorithms and Applications in Science and Engineering
Rajib Kumar Bhattacharjya (Hrsg.), Fouad Bennis (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges
Beschreibung
This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
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Leakages from sewers, Nature inspired optimization, Interactive genetic algorithms, Source identification problems, Swarm algorithms, Corridor Allocation Problems, Harmony Search, Memetic algorithms, Evolutionary algorithms, Water cycle optimization, Invasive weeds, Biogeography Based Optimization, Genetic Algorithms, Unimodal and Multimodal functions, Ant Colony Optimization, Flower pollination optimization, Design of irrigation canals, Analytical Hierarchical Process, Shuffled Frog Leaping Algorithm, Facility layout problems