Nonlinear Multiobjective Optimization

TL;DR: An MOEA based on decision variable analyses (DVAs) is proposed and control variable analysis is used to recognize the conflicts among objective functions.

TL;DR: This paper systematically compares PPS with a random initialization strategy and a hybrid initialization strategy on a variety of test instances with linear or nonlinear correlation between design variables to show that PPS is promising for dealing with dynamic environments.

TL;DR: Recent developments in Multiobjective Optimization are discussed, including optimality conditions, applications, global optimization techniques, the new concept of epsilon Pareto optimal solution, and heuristics.

TL;DR: The main idea is that in the environmental selection, offspring individuals are selected one by one based on a computationally efficient convergence indicator to increase the selection pressure toward the Pareto optimal front.