Indian Institute of Technology Kanpur

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...

Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems

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...