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SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

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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.

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Proceedings ArticleDOI

A formal approach to multi-dimensional sensitivity analysis of embedded real-time systems

TL;DR: This paper presents a heuristic and a stochastic approach suited for the multi-dimensional sensitivity analysis of large heterogenous embedded systems with complex timing constraints.
Dissertation

Parallel processing for dynamic multi-objetive optimization

TL;DR: This thesis introduces a \textit{low-cost} MOEA able to deal with multi-objective problems within more restrictive time limits than other state-of-the-art can do and proposes two different proposed approaches for the parallelization of MOEAs to solve DMO problems.
Journal ArticleDOI

Simulated binary jumping gene

TL;DR: The results obtained with the inclusion of newly developed operator show a significant increase in convergence speed of real-coded elitist non-dominated sorting genetic algorithm, particularly for the restricted number of generations.
Book ChapterDOI

A Diversity Management Operator for Evolutionary Many-Objective Optimisation

TL;DR: In this study, a diversity management operator (DMO) for controlling and promoting the diversity requirement in many -objective optimisation scenarios is introduced and tested on a set of test functions with increasing numbers of objectives.
Proceedings ArticleDOI

Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems

TL;DR: Three multilevel optimization strategies are presented and applied to the design of isolated and cascade airfoils, based on the same general-purpose search platform, which employs hierarchical, distributed metamodel-assisted evolutionary algorithms (HDMAEAs).
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