[AISWorld] Springer: Call for Book Chapters (Constraint Handling in Metaheuristics and Applications)

Thu Apr 30 14:57:51 EDT 2020

** Deadline Extended**

Springer: Call for Book Chapters

Constraint Handling in Metaheuristics and Applications

Aim and Scope
Several nature inspired metaheuristic methods have been developed so far. A few notable examples are Evolutionary Optimization methods such as Genetic Algorithms (GAs), Differential Evolution (DE), etc. Swarm Methods such as Ant Colony Optimization (ACO) method, Swarm Optimization (SO) method, Artificial Bee Colony (ABC), Grey Wolf Optimizer, etc. and socio-inspired methods such as Cohort Intelligence (CI), League Championship Algorithm, etc. These methods can efficiently handle unconstrained problems; however, their performance severely affects when applied to solve constrained problems. So far, several variations of penalty based methods, feasibility based methods, as well as repair based approaches have been developed. In addition, several problem specific heuristics have also been developed. The performance of the penalty based methods are necessarily driven by the choice of the penalty parameter which necessitates significant number of preliminary trials. The feasibility based approaches are computationally quite intensive as iterative comparison amongst the available solution is required and then the solution closer to the feasible region is accepted. Furthermore, the repair approaches necessitates the function to be evaluated along with the constraints and then the solution is modified. This approach may become tedious with increase in constraints. The development of strong, robust and generalized constraint handling techniques is very much necessary to efficiently solve complex real world problems.
We invite original contributions to the proposed book with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. The techniques may include (not limited to) novel as well as modifications over existing ones, hybridization of existing techniques. The book also aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. It may provide guidelines to the potential researchers about the choice of such methods for solving particular class of problem at hand. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions.

More specifically, following areas (not limited to) are aimed to be included in the proposed book:

1.            Novel constraint handling techniques for metaheuristics
2.            Novel constraint handling techniques for constrained dynamic optimization
3.            Novel metaheuristics algorithms for constrained optimization
4.            Hybrid and Memetic algorithms for solving constrained problems
5.            Efficient parameter setting (tuning and control) in constrained optimization
6.            Parameter free constrained optimization
7.            Mixed (discrete-continuous) constrained optimization
8.            Theoretical and performance analysis of algorithms in constrained optimization
9.            Design and solutions to test functions and Applications
10.          Critical review of existing constraint handling techniques
11.          Critical review of application specific constraint handling techniques
12.          TBA

Important Dates

Submission of Chapters:     May 15, 2020     June 15, 2020
Review of Chapters (Decision):     June 15, 2020     July 15, 2020
Revised Chapter Due:     July 15, 2020     August 15, 2020
Final Acceptance:     July 30, 2020     August 30, 2020
Final Submission to Springer:     August 15, 2020     September 15, 2020
Expected Publication:     September 30, 2020     October 30, 2020

Chapters Submissions to Editors: chair.oatresearchlab at gmail.com

Editors of Book

Dr Anand J Kulkarni
Symbiosis Center for Research and Innovation
Symbiosis International (Deemed University)
Pune 412115, MH, India
Email: anand.kulkarni at sitpune.edu.in;
kulk0003 at ntu.edu.sg

Dr Efrén Mezura-Montes
Artificial Intelligence Research Center
University of Veracruz,
Sebastián Camacho # 5,
Col. Centro, 91090
Xalapa, Veracruz, MEXICO
Email: emezura at uv.mx

Dr Yong Wang
School of Automation,
Central South University,
Changsha 410083, China
Email: ywang at csu.edu.cn;
wangyong1226 at gmail.com

Dr Amir H Gandomi
Faculty of Engineering & Information Technology
University of Technology Sydney
15 Broadway, Ultimo
NSW 2007, Australia
Email: gandomi at uts.edu.au

Dr Ganesh Krishnasamy
Monash University Malaysia,
Jalan Lagoon Selatan, Bandar Sunway,
47500 Subang Jaya, Selangor, Malaysia
Email: ganesh.krishnasamy at monash.edu

--
Anand J Kulkarni  PhD, MASc, BEng, DME

Associate Professor
Symbiosis Center for Research and Innovation
Symbiosis International (Deemed University)
Lavale, Pune 412 115, MH, India
Email: anand.kulkarni at sitpune.edu.in<mailto:anand.kulkarni at sitpune.edu.in>
kulk0003 at ntu.edu.sg<mailto:kulk0003 at ntu.edu.sg>; kulk0003 at outlook.com<mailto:kulk0003 at outlook.com>; anandmasc at gmail.com<mailto:anandmasc at gmail.com>
URL: sites.google.com/site/oatresearch/anand-jayant-kulkarni<http://sites.google.com/site/oatresearch/anand-jayant-kulkarni>
Blog: https://anandjkulkarni.blogspot.com/
Ph: 91 20 2811 6790

ResearcherID: www.researcherid.com/rid/O-3585-2016<http://www.researcherid.com/rid/O-3585-2016>
ORCID ID: orcid.org/0000-0001-6242-9492<http://orcid.org/0000-0001-6242-9492>
Google Scholar: scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=en<http://scholar.google.ca/citations?user=IAvtDokAAAAJ&hl=en>