Managing Guest Editor
Dr. Mustafa Servet Kiran, Konya Technical University, Turkey
Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland
Dr. Muneeswaran Vasudevan, Kalasalingam University, India
Dr. Mesut Gündüz, Konya Technical University, Turkey
The swarm intelligence-SI algorithms are generally population-based metaheuristic optimization methods. They have been developed by inspiring colonial behavior of the living creatures and applied to solve many different optimization problems in different research fields. Although there are many swarm intelligence-SI algorithms in the literature, there are still gap between swarm intelligence and engineering design problems because these SI-based algorithms have generally tested on unconstrained benchmark test sets, and their applications to engineering design problems are limited. In this virtual special issue, it is aimed to collect the research papers those are related to;
Development novel swarm intelligence algorithms for engineering design problems,
Novel models for the engineering problems and solution of them using swarm intelligence algorithms
Development of discrete and binary solution methodology based on Swarm Intelligence for engineering design problems.
Review the state-of-arts in intersection of swarm intelligence and engineering problems
The scope of this special issue is to motivate and collect studies those are based on swarm intelligence, evolutionary computation and their applications to engineering problems such as optimization of design variables of an engineering problems, swarm intelligence application of discrete and binary optimization, constrained optimization etc. Submitted papers should be original, unpublished research studies and should offer fundamental research contribution either from a methodological perspective or from an application point of view. The review papers on swarm intelligence and engineering problems are also welcome to show state-of-arts.
Topics of interest are challenging real-world applications of:
Particle swarm optimization
Ant colony optimization
Artificial bee colony
Grey wolf optimizer
Artificial algae algorithm
Optimization in engineering problems
Combinatorial optimization problems in engineering
Real-world application of engineering problems
Evolutionary computation algorithms
Opens for submission: July 1st,2020
Deadline for paper submission: December 31st, 2020
Expected Review Duration: 2-3 Months after submission
Final acceptance: Each article in a VSI is assigned a unique identifier and then published in a regular journal issue as soon as available. Please look at
https://www.journals.elsevier.com/applied-soft-computing/news/virtual-special-issue-vsi-introduction for detailed information.
Paper submissions for the special issue should follow the submission format and guidelines for regular papers and submitted at https://ees.elsevier.com/asoc. All the papers will be peer-reviewed following Applied Soft Computing reviewing procedures. Guest editors will make an initial assessment of the suitability and scope of all submissions. Papers will be evaluated based on their originality, presentation, relevance and contributions, as well as their suitability to the special issue. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review. Authors should select ” VSI: Discrete Swarm Intelligence ” when they reach the “Article Type” step in the submission process. The submitted papers must propose original research that has not been published nor currently under review in other venues.