Optimization of Abrasive Waterjet Machining Process using Multi-objective Jaya Algorithm
| Autor: | Joze Balic, Dhiraj P. Rai, R. Venkata Rao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Optimization problem Computer science Sorting 02 engineering and technology 020901 industrial engineering & automation Genetic algorithm Simulated annealing 0202 electrical engineering electronic engineering information engineering A priori and a posteriori 020201 artificial intelligence & image processing Firefly algorithm Cuckoo search Performance metric Algorithm |
| Zdroj: | Materials Today: Proceedings. 5:4930-4938 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2017.12.070 |
| Popis: | In this work single-objective, multi-objective and multi-parameter optimization models of a widely used modern machining process namely abrasive waterjet machining process are solved using a newly proposed optimization algorithm named Jaya algorithm. In order to solve the multi-objective optimization models, a posteriori version of Jaya algorithm named as “Multi-objective Jaya (MO-Jaya) algorithm” is used. Two optimization case studies of abrasive waterjet machining process are considered and the results of Jaya and MO-Jaya algorithms are found to be better than the results of well-known optimization algorithms such as simulated annealing (SA), particle swam optimization (PSO), firefly algorithm (FA), cuckoo search (CS) algorithm, blackhole (BH) algorithm, bio-geography based optimization (BBO) algorithm, non-dominated sorting genetic algorithm (NSGA), non-dominated sorting teaching-learning-based optimization (NSTLBO) algorithm and sequential approximation optimization (SAQ). A set of Pareto-efficient solutions is obtained for each of theconsidered multi-objective optimization problems using MO-Jaya algorithm and the same is reported in this work. Hypervolume performance metric is used to compare the quality of the Pareto-front provided by MO-Jaya algorithm to the Pareto-front provided by NSGA and NSTLBO algorithms. |
| Databáze: | OpenAIRE |
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