A Crossover in Simulated Annealing for Population Initialization of Genetic Algorithm to Optimize Distribution Cost
Keywords:Genetic Algorithms, Crossover, Simulated Annealing, Multi-Level Multi-Product Distribution,
AbstractSolving distribution problems have been an alluring topic for some academician. The determination of proper distribution network to provide a minimal cost is still difficult to resolve. This is because there are some difficult constraints to be addressed. As an algorithm, which typically offers a set of solutions in solving the problems, genetic algorithms (GA) has verified its power in solving complex combinatorial problems. The generation of a set of initial solutions (population) generally performed randomly in GA. In the large cases, it is becoming one of the drawbacks since the search space becomes too wide, so the probability to get stuck in a local optimum solution is also high. Therefore, simulated annealing (SA) is employed to generate the initial population for the GA. SA has been selected since it is able to avoid a local optimum solution. In this study, the process of finding new solutions using SA is improved by using the crossover process, which is commonly used in GA. This method has become novel because the crossover has the same principle of providing varied new solutions that still retain some of the properties of the parent solution. The result of the modification SA-GA proven to provide superior results than the existing algorithms.
How to Cite
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.