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A hybrid genetic algorithm for the bottleneck traveling salesman problem
ZH Ahmed - ACM Transactions on Embedded Computing Systems …, 2013 - dl.acm.org
The bottleneck traveling salesman problem is to find a Hamiltonian circuit that minimizes the
largest cost of any of its arcs in a graph. A simple genetic algorithm (GA) using sequential …
largest cost of any of its arcs in a graph. A simple genetic algorithm (GA) using sequential …
Lexi-search algorithm using pattern recognition technique for solving a variant constrained bulk transshipment problem
In this article we present a variant transportation problem called “A Variant Constrained Bulk
Transshipment Problem”. The purpose of this paper is to propose an efficient Lexi-Search …
Transshipment Problem”. The purpose of this paper is to propose an efficient Lexi-Search …
[PDF][PDF] A comparative study of eight crossover operators for the maximum scatter travelling salesman problem
ZH Ahmed - … Journal of Advanced Computer Science and …, 2020 - pdfs.semanticscholar.org
(MSTSP), a variation of the famous travelling salesman problem (TSP), is considered here
for our study. The aim of problem is to maximize the minimum edge in a salesman's tour that …
for our study. The aim of problem is to maximize the minimum edge in a salesman's tour that …
An exact algorithm for the clustered travelling salesman problem
ZH Ahmed - Opsearch, 2013 - Springer
We consider the clustered travelling salesman problem in which vertices (except the starting
vertex) of the network are divided into some prespecified clusters. The problem is to find a …
vertex) of the network are divided into some prespecified clusters. The problem is to find a …
[PDF][PDF] An exact algorithm for the single-depot multiple travelling salesman problem
ZH Ahmeda, I Al-Dayelb - IJCSNS, 2020 - researchgate.net
We consider the single-depot multiple travelling salesman Problem (MTSP) that is a
generalization of the benchmark travelling salesman problem (TSP). The problem outlines …
generalization of the benchmark travelling salesman problem (TSP). The problem outlines …
[PDF][PDF] A new reformulation and an exact algorithm for the quadratic assignment problem
ZH Ahmed - Indian Journal of Science and Technology, 2013 - researchgate.net
In this paper, we consider the quadratic assignment problem (QAP), one of the hardest NP-
hard combinatorial optimization problems. We first present a new reformulation of the …
hard combinatorial optimization problems. We first present a new reformulation of the …
A Data‐Guided Lexisearch Algorithm for the Asymmetric Traveling Salesman Problem
ZH Ahmed - Mathematical Problems in Engineering, 2011 - Wiley Online Library
A simple lexisearch algorithm that uses path representation method for the asymmetric
traveling salesman problem (ATSP) is proposed, along with an illustrative example, to obtain …
traveling salesman problem (ATSP) is proposed, along with an illustrative example, to obtain …
[PDF][PDF] Experimental study of hybrid genetic algorithms for the maximum scatter travelling salesman problem
We consider the maximum scatter travelling salesman problem (MSTSP), a travelling
salesman problem (TSP) variant. The problem aims to maximize the shortest edge in the …
salesman problem (TSP) variant. The problem aims to maximize the shortest edge in the …
[PDF][PDF] A lexisearch algorithm for the distance-constrained vehicle routing problem
ZH Ahmed - … Journal of Mathematical and Computational Methods, 2016 - researchgate.net
The vehicle routing problem (VRP), belongs to the class of NP-hard problems, is considered
as one of the most difficult problems. The problem aims to serve a number of customers with …
as one of the most difficult problems. The problem aims to serve a number of customers with …
A combined strategy for solving quadratic assignment problem
F Ahyaningsih - AIP Conference Proceedings, 2017 - pubs.aip.org
The quadratic assignment problem is a combinatorial problem of deciding the placement of
facilities in specified locations in such a way as to minimize a nonconvex objective function …
facilities in specified locations in such a way as to minimize a nonconvex objective function …