T
T. Meyarivan
Researcher at Indian Institute of Technology Kanpur
Publications - 3
Citations - 42333
T. Meyarivan is an academic researcher from Indian Institute of Technology Kanpur. The author has contributed to research in topics: Evolutionary algorithm & Genetic algorithm. The author has an hindex of 3, co-authored 3 publications receiving 35687 citations.
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Book ChapterDOI
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
TL;DR: Simulation results on five difficult test problems show that the proposed NSGA-II, in most problems, is able to find much better spread of solutions and better convergence near the true Pareto-optimal front compared to PAES and SPEA--two other elitist multi-objective EAs which pay special attention towards creating a diverse Paretimal front.
Book ChapterDOI
Constrained Test Problems for Multi-objective Evolutionary Optimization
TL;DR: A number of test problems used in the literature are reviewed and a set of tunable test problems for constraint handling are suggested which can evaluate the constraint handling MOEAs well.