2009Recent Patents on Electrical EngineeringRequires access

Tabu Search: Its Modified Forms and Management Agent

Jukkrit Kluabwang, Sarawut Sujitjorn

Open publisher page 2 citations

Abstract

This article presents a review of a kind of evolutionary algorithms belonging to lamarckian learning group. It begins with providing background of evolutionary algorithms. Explanation on generic tabu search is given together with reviews of its variation. The reviews cover reactive tabu search (RTS), parallel tabu search (PTS), probabilistic tabu search (PrTS), hybrid tabu search (HTS) and adaptive tabu search (ATS). Finally, the article presents a meta-heuristic approach referred to as the management agent (MA) for search. With the MA, search performance can be improved dramatically as being confirmed by our results of surface optimization problems. In this article the most important patents are also discussed. Keywords: Evolutionary algorithms, tabu search, adaptive tabu search, management agent

About this research paper

What this paper is about

This article presents a review of a kind of evolutionary algorithms belonging to lamarckian learning group. It begins with providing background of evolutionary algorithms. Explanation on generic tabu search is given together with reviews of its variation. The reviews cover reactive tabu search (RTS), parallel tabu search (PTS), probabilistic tabu search (PrTS), hybrid tabu search (HTS) and adaptive tabu search (ATS). Finally, the article presents a meta-heuristic approach referred to as the management agent (MA) for search. With the MA, search performance can be improved dramatically as being confirmed by our results of surface optimization problems. In this article the most important patents are also discussed. Keywords: Evolutionary algorithms, tabu search, adaptive tabu search, management agent

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

This article presents a review of a kind of evolutionary algorithms belonging to lamarckian learning group. It begins with providing background of evolutionary algorithms. Explanation on generic tabu search is given together with reviews of its variation. The reviews cover reactive tabu search (RTS), parallel tabu search (PTS), probabilistic tabu search (PrTS), hybrid tabu search (HTS) and adaptive tabu search (ATS). Finally, the article presents a meta-heuristic approach referred to as the management agent (MA) for search. With the MA, search performance can be improved dramatically as being confirmed by our results of surface optimization problems. In this article the most important patents are also discussed. Keywords: Evolutionary algorithms, tabu search, adaptive tabu search, management agent

Key concepts: Tabu search, Guided Local Search, Hill climbing, Computer science, Mathematical optimization, Beam search, Incremental heuristic search, Best-first search

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