2000Journal of Hubei Polytechnic UniversityRequires access

Line-up Competition Algorithm Solving Combinatorial Optimization Problems

Lie Yan

Open publisher page 1 citations

Abstract

The framework is given for solving combinatorial optimization problems with line up competition algorithm (LCA) presented by the author in his Ph. D dissertation, and the two principles of determining mutation adjacent region are presented. Based on the two principles, the mutation adjacent regions of knapsack problem and traveling salesman problem are determined respectively. Using of LCA to solve knapsack problem shows that LCA has excellent search ability. Solving traveling salesman problem of China with LCA, the optimal five routes have been now obtained. The examples of this paper show that LCA is an efficient algorithm in solving combinatorial optimization problems.

About this research paper

What this paper is about

The framework is given for solving combinatorial optimization problems with line up competition algorithm (LCA) presented by the author in his Ph. D dissertation, and the two principles of determining mutation adjacent region are presented. Based on the two principles, the mutation adjacent regions of knapsack problem and traveling salesman problem are determined respectively. Using of LCA to solve knapsack problem shows that LCA has excellent search ability. Solving traveling salesman problem of China with LCA, the optimal five routes have been now obtained. The examples of this paper show that LCA is an efficient algorithm in solving combinatorial optimization problems.

Why it matters

OpenAlex reports 1 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

The framework is given for solving combinatorial optimization problems with line up competition algorithm (LCA) presented by the author in his Ph. D dissertation, and the two principles of determining mutation adjacent region are presented. Based on the two principles, the mutation adjacent regions of knapsack problem and traveling salesman problem are determined respectively. Using of LCA to solve knapsack problem shows that LCA has excellent search ability. Solving traveling salesman problem of China with LCA, the optimal five routes have been now obtained. The examples of this paper show that LCA is an efficient algorithm in solving combinatorial optimization problems.

Key concepts: Knapsack problem, Travelling salesman problem, Mathematical optimization, Combinatorial optimization, Optimization problem, 2-opt, Generalized assignment problem, Continuous knapsack problem

Related papers

Back to paper searchBrowse research topicsOriginal source
Line-up Competition Algorithm Solving Combinatorial Optimization Problems — Research Paper | ScholarLens