Open Access
SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
About:
The article was published on 2002-01-01 and is currently open access. It has received 1972 citations till now. The article focuses on the topics: Pareto principle & Multi-objective optimization.read more
Citations
More filters
Journal ArticleDOI
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
TL;DR: It is demonstrated that, compared with GDE3, RM-MEDA is not sensitive to algorithmic parameters, and has good scalability to the number of decision variables in the case of nonlinear variable linkages.
Book ChapterDOI
Improving PSO-Based multi-objective optimization using crowding, mutation and ∈-dominance
TL;DR: A new Multi-Objective Particle Swarm Optimizer is proposed, which is based on Pareto dominance and the use of a crowding factor to filter out the list of available leaders and incorporates the ∈-dominance concept to fix the size of the set of final solutions produced by the algorithm.
Book ChapterDOI
A Tutorial on Evolutionary Multiobjective Optimization
TL;DR: This work states that evolutionary multiobjective optimization has become established as a separate subdiscipline combining the fields of evolutionary computation and classical multiple criteria decision making.
Journal ArticleDOI
A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
Xingyi Zhang,Ye Tian,Yaochu Jin +2 more
TL;DR: A knee point-driven EA to solve MaOPs by showing that knee points are naturally most preferred among nondominated solutions if no explicit user preferences are given and enhancing the convergence performance in many-objective optimization.
Journal ArticleDOI
Evaluating the e -Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions
TL;DR: Evaluating a recently-proposed steady-state MOEA which was developed based on the -dominance concept introduced earlier and using efficient parent and archive update strategies for achieving a well-distributed and well-converged set of solutions quickly finds that the -MOEA is a step closer towards making MOEAs pragmatic.