Fairer Comparisons for Travelling Salesman Problem Solutions Using Hash Functions

被引:0
|
作者
El Krari, Mehdi [1 ]
Guibadj, Rym Nesrine [2 ]
Woodward, John [3 ]
Robilliard, Denis [2 ]
机构
[1] Univ Nottingham, Sch Comp Sci, Computat Optimisat & Learning Lab, Nottingham, England
[2] Univ Littoral Cote dOpale, EA 4491 LISIC, Calais, France
[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, Operat Res Grp, Mile End Rd, London E1 4NS, England
来源
EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, EVOCOP 2023 | 2023年 / 13987卷
关键词
Hash functions; Combinatorial Problems; Travelling Salesman Problem; Local Search; Genetic Algorithms; Memetic Algorithms; LOCAL SEARCH;
D O I
10.1007/978-3-031-30035-6_1
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Fitness functions fail to differentiate between different solutions with the same fitness, and this lack of ability to distinguish between solutions can have a detrimental effect on the search process. We investigate, for the Travelling Salesman Problem (TSP), the impact of using a hash function to differentiate solutions during the search process. Whereas this work is not intended to improve the state-of-the-art of the TSP solvers, it nevertheless reveals a positive effect when the hash function is used.
引用
收藏
页码:1 / 15
页数:15
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