Harmony search algorithm : proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) / Javier Del Ser, editor.
2017
QA76.9.A43
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Details
Title
Harmony search algorithm : proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) / Javier Del Ser, editor.
ISBN
9789811037283 (electronic book)
9811037280 (electronic book)
9789811037276
9811037272
9811037280 (electronic book)
9789811037276
9811037272
Published
Singapore : Springer, 2017.
Language
English
Description
1 online resource (xiv, 366 pages) : illustrations.
Item Number
10.1007/978-981-10-3728-3 doi
Call Number
QA76.9.A43
Dewey Decimal Classification
005.1
Summary
This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation & mobility and health, among many others and focus not only on its cross-domain applicability, but also on its core evolutionary operators, including elements inspired from other meta-heuristics. The global scientific community is witnessing an upsurge in groundbreaking, new advances in all areas of computational intelligence, with a particular flurry of research focusing on evolutionary computation and bio-inspired optimization. Observed processes in nature and sociology have provided the basis for innovative algorithmic developments aimed at leveraging the inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last decade has been shown to dominate other solvers in a plethora of application scenarios. The book consists of a selection of the best contributions presented at ICHSA, a major biannual event where leading global experts on meta-heuristic optimization present their latest findings and discuss the past, present, and future of the exciting field of Harmony Search optimization. It provides a valuable reference resource for researchers working in the field of optimization meta-heuristics, and a solid technical base for frontline investigations around this algorithm.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 6, 2017).
Added Author
Del Ser, Javier, editor.
Series
Advances in intelligent systems and computing ; 514.
Available in Other Form
Harmony Search Algorithm : Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
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Table of Contents
Sensitivity Analysis on Migration Parameters of Parallel Harmony Search
Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient Structure
Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm
A Comparative Study of Exploration Ability of Harmony Search Algorithms
The Extraordinary Particle Swarm Optimization and its Application in Constrained Engineering Problems
Metaheuristic based Optimization for Tuned Mass Dampers using Frequency Domain Responses.
Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient Structure
Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm
A Comparative Study of Exploration Ability of Harmony Search Algorithms
The Extraordinary Particle Swarm Optimization and its Application in Constrained Engineering Problems
Metaheuristic based Optimization for Tuned Mass Dampers using Frequency Domain Responses.