2007Computer Engineering and Applications JournalRequires access

Study on tabu search algorithm for stochastic vehicle routing problem

Xing Liu, HE Guo-guang

Open publisher page 6 citations

Abstract

On the basis of describing the vehicle routing problem briefly,a new improved tabu search algorithm is presented.In this algorithm,routing problem is divided into several sub-problems according to vehicle-customer assigning structure,and an inner tabu search algorithm is applied for each sub-problem,at last the answer of the whole problem is find among the answers of all sub-problems.Two conclusions are drawn by computation results and theory:the algorithm extends the search scope,improving the optimisation effect;The algorithm is a collateral algorithm that can be run by several computer at the same time to decrease the whole optimisation time.

About this research paper

What this paper is about

On the basis of describing the vehicle routing problem briefly,a new improved tabu search algorithm is presented.In this algorithm,routing problem is divided into several sub-problems according to vehicle-customer assigning structure,and an inner tabu search algorithm is applied for each sub-problem,at last the answer of the whole problem is find among the answers of all sub-problems.Two conclusions are drawn by computation results and theory:the algorithm extends the search scope,improving the optimisation effect;The algorithm is a collateral algorithm that can be run by several computer at the same time to decrease the whole optimisation time.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

On the basis of describing the vehicle routing problem briefly,a new improved tabu search algorithm is presented.In this algorithm,routing problem is divided into several sub-problems according to vehicle-customer assigning structure,and an inner tabu search algorithm is applied for each sub-problem,at last the answer of the whole problem is find among the answers of all sub-problems.Two conclusions are drawn by computation results and theory:the algorithm extends the search scope,improving the optimisation effect;The algorithm is a collateral algorithm that can be run by several computer at the same time to decrease the whole optimisation time.

Key concepts: Tabu search, Vehicle routing problem, Mathematical optimization, Computer science, Algorithm, Guided Local Search, Computation, Routing (electronic design automation)

Related papers

Back to paper searchBrowse research topicsOriginal source
Study on tabu search algorithm for stochastic vehicle routing problem — Research Paper | ScholarLens