Nature-Inspired Methods for Metaheuristics Optimization
Algorithms and Applications in Science and Engineering
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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.
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.
Focuses on algorithms that are highly efficient in solving non-linear non-convex problems Gives practical insights into the implementation of meta-heuristic optimization algorithms Reports on applications to various real-world problems
Autor*in
Fouad Bennis
Themen in »Nature-Inspired Methods for Metaheuristics Optimization«
Ant Colony Optimization Analytical Hierarchical Process Biogeography Based Optimization Corridor Allocation Problems Design of irrigation canals Evolutionary algorithms Flower pollination optimization Facility layout problems Genetic Algorithms Harmony Search Interactive genetic algorithms Invasive weeds Leakages from sewers Memetic algorithms Nature inspired optimization