4 results for “R. Thamilselvan”

Research ArticleOpen accessIn the author namesHybridization of Genetic Algorithm with Parallel Implementation of Simulated Annealing for Job Shop SchedulingThamilselvan Rakkiannan, Balasubramanie PalanisamyProblem statement: The Job Shop Scheduling Problem (JSSP) is observed as one of the most difficult NP-hard, combinatorial problem. The problem consists of determining the most efficient schedule for jobs that are processed on several machines. Approach: In this study Genetic Algorithm (GA) is integrated with the parallel version of Simulated Annealing Algorithm (SA) is applied to the job shop … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,062 accessesView PDF Cite

Research ArticleOpen accessIn the author namesIntegration of Genetic Algorithm with Tabu Search for Job Shop Scheduling with Unordered Subsequence Exchange CrossoverR. Thamilselvan, P. BalasubramanieProblem statement: The problem of scheduling n jobs on m machines with each job having specific machine route has been researched over the decade. The Job Shop Scheduling (JSS) is one of the hardest combinatorial optimization problems. Each resource can process at most one job at a time. Approach: This study proposes a new approach to solve a Job Shop … …Journal of Computer Science, Vol. 8, Issue 5 · 24 Feb 2012 · 6,655 accessesView PDF Cite