An algorithm development environment for problem-solving: software review

Algorithm Development Environment for Problem Solving (ADEP) is a development platform catering to the needs of designing and exploring computationally viable configurations of metaheuristic algorithms. It is motivated by the lack of tools capable of capitalizing on the richness of memetic computing...

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Bibliographic Details
Published in:Memetic computing Vol. 4; no. 2; pp. 149 - 161
Main Author: Chen, Xianshun
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer-Verlag 01.06.2012
Subjects:
Applications of Mathematics
Artificial Intelligence
Bioinformatics
Complex Systems
Control
Engineering
Mathematical and Computational Engineering
Mechatronics
Robotics
Software Review
Memetic algorithm
Automated algorithms configuration
Combinatorial optimization
Metaheuristics
Continuous optimization
Algorithms design
ISSN:1865-9284, 1865-9292
Online Access:Get full text
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Summary:Algorithm Development Environment for Problem Solving (ADEP) is a development platform catering to the needs of designing and exploring computationally viable configurations of metaheuristic algorithms. It is motivated by the lack of tools capable of capitalizing on the richness of memetic computing techniques that surfaced in recent years. This software review article introduces the functional features of ADEP and describes the the various utility modules within the ADEP metaheuristics framework, in particular the LVRP tree data structure, configuration and simulation visualization, and the automated configuration via the problem-driven learning engine.
ISSN:1865-9284
1865-9292
DOI:10.1007/s12293-012-0083-1