Harmony Search Algorithm

Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Harmony Search Algorithm by , Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789811037283
Publisher: Springer Singapore Publication: January 20, 2017
Imprint: Springer Language: English
Author:
ISBN: 9789811037283
Publisher: Springer Singapore
Publication: January 20, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Harmony Search and Nature Inspired Optimization Algorithms by
Cover of the book Proceedings of the 1st International Conference on Electronic Engineering and Renewable Energy by
Cover of the book Discriminative Learning in Biometrics by
Cover of the book EM Design and Analysis of Dipole Arrays on Non-planar Dielectric Substrate by
Cover of the book Dr. Osamu Shimomura's Legacy and the Postwar Japanese Economy by
Cover of the book Storage Policies and Maintenance Support Strategies in Warehousing Systems by
Cover of the book China’s Rural Development Road by
Cover of the book Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems by
Cover of the book Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis by
Cover of the book Motivation, Leadership and Curriculum Design by
Cover of the book Target Detection and Tracking by Bionanosensor Networks by
Cover of the book Molecular Diagnosis and Targeting for Thoracic and Gastrointestinal Malignancy by
Cover of the book Games-To-Teach or Games-To-Learn by
Cover of the book Embassies to China by
Cover of the book Genetic and Evolutionary Computing by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy