Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management
This paper carries out a performance analysis of major Nature-inspired Algorithms in solving the benchmark symmetric and asymmetric Traveling Salesman’s Problems (TSP). Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. After criti...
Main Authors: | Julius, Beneoluchi Odili, M. N. M., Kahar, Noraziah, Ahmad, M., Zarina, Riaz, Ul Haq |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/18345/1/Performance%20Analyses%20of%20Nature-inspired%20Algorithms1.pdf |
Similar Items
-
A comparative performance analysis of computational intelligence techniques to solve the asymmetric travelling salesman problem
by: Odili, Julius Beneoluchi, et al.
Published: (2021) -
African Buffalo Optimization and the Randomized Insertion Algorithm for the Asymmetric Travelling Salesman’s Problems
by: Odili, Julius Beneoluchi, et al.
Published: (2016) -
Solving the Traveling Salesman’s Problem using the African Buffalo Optimization
by: Odili, Julius Beneoluchi, et al.
Published: (2016) -
Solving Traveling Salesman’s Problem Using African Buffalo Optimization, Honey Bee Mating Optimization & Lin-Kerninghan Algorithms
by: Odili, Julius Beneoluchi, et al.
Published: (2016) -
Swarm intelligence algorithms’ solutions to the travelling salesman’s problem
by: Odili, Julius Beneoluchi, et al.
Published: (2020)