A fast and elitist multiobjective genetic algorithm: NSGA-II
Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (wher...
Publications
5 shownMuiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
In trying to solve multiobjective optimization problems, many traditional methods scalarize the objective vector into a single objective. In those cases, the obtained solution i...
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function...
Scalable multi-objective optimization test problems
After adequately demonstrating the ability to solve different two-objective optimization problems, multi-objective evolutionary algorithms (MOEAs) must show their efficacy in ha...
Pymoo: Multi-Objective Optimization in Python
Python has become the programming language of choice for research and\nindustry projects related to data science, machine learning, and deep learning.\nSince optimization is an ...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 60,555
- Institution
- Indian Institute of Technology Kanpur
External Links
Identifiers
- ORCID
- 0000-0001-7402-9939
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.