A branch-and-bound method for the fixed charge transportation problem
Management Science
Tabu search applied to the general fixed charge problem
Annals of Operations Research - Special issue on Tabu search
Bicriteria transportation problem by hybrid genetic algorithm
Proceedings of the 23rd international conference on on Computers and industrial engineering
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
A new approach to solve hybrid flow shop scheduling problems by artificial immune system
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Particle swarm approach for parameter optimization of quantum well nano structure
Expert Systems with Applications: An International Journal
Edge sets: an effective evolutionary coding of spanning trees
IEEE Transactions on Evolutionary Computation
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Fixed Charge Transportation Problem (FCTP) is an NP-hard problem with many applications in both traditional and modern industrial situations. This paper introduces a Hybrid Particle Swarm algorithm with artificial Immune Learning (HPSIL) for solving fixed FCTPs. In HPSIL algorithm a flexible particle (chromosome) structure, decoding procedure and allocation procedure are used instead of a Prufer number and a spanning tree that used with genetic algorithms. The proposed allocation procedure guarantees finding a feasible solution for each generated particle. The HPSIL algorithm can be used for solving both balanced and unbalanced FCTPs without introducing dummy supplier or dummy demand. With regard to solution quality, the HPSIL algorithm can be considered as a viable alternative for solving FCTPs in addition to the recent algorithms.