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Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications : ICHSA 2022 / edited by Joong Hoon Kim, Kusum Deep, Zong Woo Geem, Ali Sadollah, Anupam Yadav.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online

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Format:
Book
Conference/Event
Contributor:
Kim, Joong Hoon, editor.
Conference Name:
International Conference on Harmony Search, Soft Computing and Applications
Series:
Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 140
Language:
English
Subjects (All):
Computational intelligence.
Machine learning.
Algorithms.
Computational Intelligence.
Machine Learning.
Local Subjects:
Computational Intelligence.
Machine Learning.
Algorithms.
Physical Description:
1 online resource (xv, 522 pages) : illustrations (chiefly color).
Edition:
1st ed. 2022.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Summary:
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International Conference on Harmony Search, Soft Computing and Applications held at Virtual Conference, Seoul, South Korea, in February 2022. Harmony search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
Contents:
COVID-19 Chest X-rays Classification through The Fusion of Deep Transfer Learning and Machine Learning Methods
Quantitative and Qualitative Analysis of Harmony Search Algorithm in Geomechanics and its Applications
The Robustness of Tuned Liquid Dampers Optimized via Metaheuristic Methods
Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization
Sensivity analysis on Structural Optimization using Jaya Algorithm
Upgrading urban drainage systems for extreme rainfall events using multi-objective optimization: Case study of Tan Hoa-Lo Gom drainage catchment, HCMC, Vietnam
Comparative Study on Optimization of Cantilever Retaining Walls via Several Metaheuristics
Optimal Solving of Uninhabited Combat Air Vehicle Path Planning Using Neural Network Algorithm
Cost Optimization and Comparison of Rectangular Cross-Section Reinforced Concrete Beams Using TS500, Eurocode 2 and ACI 318 code
Training Neural Networks with Lévy Flight Distribution Algorithm
Pressure Management in Water Distribution Networks Using Optimal Locating and Operating of Pressure Reducing Valves
The Optimal Location and Dimensions of Flood Control Detention Dams at Kan River Basin, Tehran, Iran
Minimization the CO2 Emission for Optimum Design of T-Shape Reinforced Concrete (RC) Beam
Prediction of Minimum CO2 Emission for Rectangular Shape Reinforced Concrete (RC) Beam
A generative adversarial approach for detecting malware in Android applications using Deep learning.
Notes:
Includes bibliographical references and index.
Other Format:
Print version: Kim, Joong Hoon Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications
ISBN:
981-19-2948-3

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