Journal ArticleDOI
Genetic Algorithm and its Applications to Mechanical Engineering: A Review
Trupti Bhoskar,Omkar Kulkarni,Ninad Kulkarni,Sujata Patekar,Ganesh Kakandikar,Vilas M. Nandedkar +5 more
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TLDR
Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization problems.About:
This article is published in Materials Today: Proceedings.The article was published on 2015-01-01. It has received 82 citations till now. The article focuses on the topics: Meta-optimization & Genetic representation.read more
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Improvement of flow behavior in the spiral casing of Francis hydro turbine model by shape optimization
Ujjwal Shrestha,Young-Do Choi +1 more
TL;DR: In this paper, the shape of a spiral casing is optimized based on a steady-state flow analysis and numerical optimization is performed using response surface methodology (RSM) and multiobjective genetic algorithm (MOGA).
Journal ArticleDOI
Multi-objective optimization of parallel microchannel heat sink with inlet/outlet U, I, Z type manifold configuration by RSM and NSGA-II
TL;DR: In this paper , a shape optimization of a parallel microchannel heat sink (PMCHS) is presented to minimize the thermal resistance and pressure drop for each U, I, and Z-type inlet/outlet manifold configuration with vertical intake and coolant delivery.
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Investigations on wire electric discharge machining of hybrid nano metal matrix composites (AA6061/SiC/B 4 C) for industry need based multi-response optimization
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A Comprehensive Review on Computational Techniques for Form Error Evaluation
TL;DR: This paper presents a comprehensive review and discussion on different computational techniques for distinctive form error evaluation in engineering components using traditional methods and advanced optimization algorithms employed for precised evaluation of these errors.
References
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Journal ArticleDOI
A general heuristic for vehicle routing problems
David Pisinger,Stefan Ropke +1 more
TL;DR: A unified heuristic which is able to solve five different variants of the vehicle routing problem and shown promising results for a large class of vehicle routing problems with backhauls as demonstrated in Ropke and Pisinger.
Dissertation
A genetic algorithm for resource-constrained scheduling
TL;DR: Jakiela et al. as discussed by the authors presented a genetic algorithm approach to resource-constrained scheduling using a direct, time-based representation, which was applied to over 1000 small job shop and project scheduling problems (10-300 activities, 3-10 resource types).
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A genetic local search algorithm for minimizing total weighted tardiness in the job-shop scheduling problem
TL;DR: This paper considers the job-shop problem with release dates and due dates with the objective of minimizing the total weighted tardiness, and shows that the efficiency of genetic algorithms does no longer depend on the schedule builder when an iterated local search is used.
Journal ArticleDOI
Genetic algorithm-based optimization of cutting parameters in turning processes
Doriana M. D’Addona,Roberto Teti +1 more
TL;DR: An optimization paradigm based on GA for the determination of the cutting parameters in machining operations is proposed in this article, where the GA has been used as an optimal solution finder for finding optimal cutting parameters during a turning process.
Journal ArticleDOI
Scheduling optimisation of flexible manufacturing systems using particle swarm optimisation algorithm
TL;DR: In this article, different scheduling mechanisms are designed to generate optimum scheduling; these include non-traditional approaches such as genetic algorithm (GA), simulated annealing (SA) algorithm, memetic algorithm (MA) and particle swarm algorithm (PSA) by considering multiple objectives.