Call for Book Chapters
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
Volume II: Solving Single Objective Constrained Real-Parameter Optimization Problems
To be published in the series: "Studies in Systems, Decision and Control" (SSDC) by Springer
Topics of interest include, but are not only limited to:
Gaining-Sharing Knowledge based algorithm
Ant Colony Optimization
Ant Lion Optimization
Artificial Bee Colony
Biogeography based Optimization
Covariance Matrix Adaptation Evolution Strategies
Teaching-Learning based Optimization
Particle Swarm Optimization
Sine Cosine Algorithm
Stochastic Fractal Search
Each article is expected to cover Single Objective Constrained Numerical Optimization. Thus, we strongly encouraged
authors to test the performance of their proposed state of the art algorithms on either any real-world engineering
application such as Electrical and power systems, machine learning, Robotics and Expert Systems, Pattern recognition,
Image processing, Bioinformatics and bio-medical engineering, Electronics and communication engineering,
Manufacturing Science and Operation Research or one of CEC 2010, or CEC 2017 for constrained benchmarks.
Link for submission
Deadline for paper submission: August 31, 2021
First round notification: September 30, 2021
Camera-ready submission: November 30 2021
Dr. Ali Wagdy Mohamed
Cairo University, Nile University, Egypt.
Dr. Diego Oliva
Universidad de Guadalajara, CUCEI, México.
Dr. Ponnuthurai Nagaratnam Suganthan
Nanyang Technological University, Singapore.