Problem MetaHeuristic Solver: An educational tool aimed at studying heuristic optimization methods

ABSTRACT In this paper, we introduce Problem MetaHeuristic Solver (PMHS), a new educational software tool aimed at the generic study of the concepts related to the optimization field. Its relevance in this environment arises from the performed coverage of the main stages when solving optimization pr...

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Published inComputer applications in engineering education Vol. 23; no. 6; pp. 897 - 909
Main Authors Expósito-Izquierdo, Christopher, López-Plata, Israel, Moreno-Vega, J. Marcos
Format Journal Article
LanguageEnglish
Published Blackwell Publishing Ltd 01.11.2015
Subjects
(meta)heuristic method
Education
educational tool
Flexibility
Heuristic methods
Optimization
optimization problem
problem metaheuristic solver
software
Solvers
Students
Workload
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Summary:ABSTRACT In this paper, we introduce Problem MetaHeuristic Solver (PMHS), a new educational software tool aimed at the generic study of the concepts related to the optimization field. Its relevance in this environment arises from the performed coverage of the main stages when solving optimization problems. Its modular architecture, graphical functionalities, interaction level, and wide flexibility give rise to its educational interest, allowing its adaptation to multitude of educational environments, being an assistant during the theoretical lectures as well as a transversal tool over the practical sessions. PMHS has been used during an undergraduate optimization course. The results obtained from the experience suggest that the tool improves the understanding of the theoretical concepts and reduces the workload of the students when implementing optimization methods. © 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:897–909, 2015; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21661
Bibliography:ArticleID:CAE21661
istex:4BDED1DB172046360D6B6995BD8008C6F4A808E6
Spanish Ministry of Economy and Competitiveness - No. TIN2012-32608
ark:/67375/WNG-MXM85XLJ-H
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1061-3773
1099-0542
DOI:10.1002/cae.21661