Software framework for optimization problems and meta-heuristics based on scripting language

Abstract

Since most researchers working algorithm for their specific optimization problem, the task of selecting, modifying and extending codes from rapid software framework is very likely to occur. Software framework enables design and codes reuse meta-heuristics. This paper presents a review of the available meta-heuristics and summarize some important fea about a new software framework based on scripting language is given. Furthermore, the Since most researchers working in meta-heuristics fields are required to develop their own algorithm for their specific optimization problem, the task of selecting, modifying and extending codes from rapid software framework is very likely to occur. Software framework codes reuses to allow faster programming development of the paper presents a review of the available rapid software framework for heuristics and summarize some important features of the rapid software. A software framework based on scripting language is given. Furthermore, the scripting language that was used to develop a meta-heuristics algorithm of PSO hybridization is evaluated according to the conciseness aspects. This results program codes with scripting language has more conciseness that the main oftware

The implementation frameworks of meta-heuristics hybridization with dynamic parameterization

“…The search space configuration consists of sequential configuration without percentage of division. Since PSO is master-metaheuristic [35], particle is the only solutions representation in the search space. The following Fig.…”