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Call for Book Chapters
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical 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
Cuckoo Search
Covariance Matrix Adaptation Evolution Strategies
Differential Evolution
Teaching-Learning based Optimization
Harmony Search
Particle Swarm Optimization
Sine Cosine Algorithm
Stochastic Fractal Search
Whale Optimization
Bacterial Foraging
Bat Algorithm
Each article is expected to cover Single Objective Bound 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 or one of CEC 2013, CEC2014 or CEC 2017 for bound-constrained benchmarks.
Link for submission
https://easychair.org/conferences/?conf=nioasi2020
Important Dates:
Deadline for paper submission: August 31, 2021
First round notification: September 30, 2021
Camera-ready submission: November 30 2021
Volume editors
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.