scholarly journals A Comprehensive Review on Scatter Search: Techniques, Applications, and Challenges

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Minakshi Kalra ◽  
Shobhit Tyagi ◽  
Vijay Kumar ◽  
Manjit Kaur ◽  
Wali Khan Mashwani ◽  
...  
Keyword(s):  
Optimization Problems ◽  
Control Strategies ◽  
Scatter Search ◽  
Metaheuristic Algorithm ◽  
Future Directions ◽  
Comprehensive Review ◽  
Research Problems ◽  
Global Optima ◽  
Evolutionary Metaheuristic ◽  
Research Domains

Recent years have witnessed the use of metaheuristic algorithms to solve the optimization problems that usually require extensive computations and time. Among others, scatter search is the widely used evolutionary metaheuristic algorithm. It uses the information of global optima, which is stored in a different and unique set of solutions. In this paper, an updated review of scatter search (SS) is given. SS has been successfully applied in a variety of research problems, namely, data mining, bioinformatics, and engineering design. This paper presents the modified and hybrid versions of SS with their applications. The control strategies are discussed to show their impact on the performance of SS. various issues and future directions related to SS are also discussed. It inspires innovative researchers to use this algorithm for their research domains.

Searching for the IoT Resources: Fundamentals, Requirements, Comprehensive Review, and Future Directions

2018 ◽  
Vol 20 (3) ◽  
pp. 2101-2132 ◽  
Author(s):  
Santosh Pattar ◽  
Rajkumar Buyya ◽  
K. R. Venugopal ◽  
S. S. Iyengar ◽  
L. M. Patnaik
Keyword(s):  
Future Directions ◽  
Comprehensive Review

scholarly journals Metaheuristic Optimization of Power and Energy Systems: Underlying Principles and Main Issues of the ‘Rush to Heuristics’

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5097
Author(s):  
Gianfranco Chicco ◽  
Andrea Mazza
Keyword(s):  
Global Optimization ◽  
Specific Problem ◽  
Optimization Problems ◽  
Energy Systems ◽  
Progressive Increase ◽  
Metaheuristic Algorithms ◽  
Metaheuristic Algorithm ◽  
Power And Energy Systems ◽  
Power And Energy ◽  
Better Than

In the power and energy systems area, a progressive increase of literature contributions that contain applications of metaheuristic algorithms is occurring. In many cases, these applications are merely aimed at proposing the testing of an existing metaheuristic algorithm on a specific problem, claiming that the proposed method is better than other methods that are based on weak comparisons. This ‘rush to heuristics’ does not happen in the evolutionary computation domain, where the rules for setting up rigorous comparisons are stricter but are typical of the domains of application of the metaheuristics. This paper considers the applications to power and energy systems and aims at providing a comprehensive view of the main issues that concern the use of metaheuristics for global optimization problems. A set of underlying principles that characterize the metaheuristic algorithms is presented. The customization of metaheuristic algorithms to fit the constraints of specific problems is discussed. Some weaknesses and pitfalls that are found in literature contributions are identified, and specific guidelines are provided regarding how to prepare sound contributions on the application of metaheuristic algorithms to specific problems.

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