Computational Optimization Techniques and Applications Edited by Muhammad Sarfraz Book metrics overview 3,884 Chapter Downloads View Full Metrics Academic Editor Muhammad Sarfraz Kuwait University Co-editor Samsul Ariffin Abdul Karim Universiti Teknologi Petronas Published August 25th, 2021 Doi 10.5772/intechopen.87788 ISBN 978-1-83968-766-2 A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniquesin optimization that encompass the broadness and diversity of the methods (traditional and new) and ANT COLONY OPTIMIZATION - TECHNIQUES AND APPLICATIONS. Anikó Csébfalvi. Download Download PDF. Full PDF Package Download Full PDF Package. This Paper. A short summary of this paper. 37 Full PDFs related to this paper. Read Paper. Download Download PDF. Download Full PDF Package. Simulation optimization is an area that has attracted the attention of many researchers. The six major categories of simulation optimization methods are displayed in Figure 3. Section 2 contains brief descriptions of frequently used simulation optimization methods. Section 3 enumerates the reported applications of simulation optimization. TECHNIQUES THEORY AND APPLICATIONS TO POWER SYSTEMS Kwang Y. Lee and Mohamed A. El-Sharkawi Edited by. Disclaimer: The editors of this volume are not endorsing evolution as a scientific fact, in that species 4 Fundamentals of Particle Swarm Optimization Techniques 71 Yoshikazu Fukuyama 4.1 Introduction, 71 4.2 Basic Particle Swarm