Open Access
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.read more
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Evolutionary Optimization of Dynamic Multiobjective Functions
TL;DR: A test suite with existing benchmark functions having dynamic behavior and new designed dynamic test functions for yet uncovered cases is proposed, and a new path integral metric is introduced for the transfer of singleobjective results.
Journal ArticleDOI
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software
TL;DR: A novel framework that automatically synergizes the feature model and Multi-Objective Evolutionary Algorithm (MOEA) to optimize SAS at runtime, and a new method to search for the knee solutions, which can achieve a balanced tradeoff.
Journal ArticleDOI
A novel multi-objective bacteria foraging optimization algorithm (MOBFOA) for multi-objective scheduling
Mandeep Kaur,Sanjay Kadam +1 more
TL;DR: A multi-objective bacteria foraging optimization algorithm (MOBFOA) is proposed that uses new fitness assignment method and bacteria selection procedure for simultaneous optimization of multiple objectives, where each solution evaluation is computationally expensive.
Book ChapterDOI
Metaheuristics for University Course Timetabling
TL;DR: The work presented in this thesis concerns the problem of timetabling at universities – particularly course-timetabling, and examines the various ways in which metaheuristic techniques might be applied to these sorts of problems using a "twostaged" algorithmic approach.
Proceedings ArticleDOI
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
Zhengli Huang,Wenliang Du +1 more
TL;DR: An evolutionary multi-objective optimization method is used to find optimal disguise matrices for the randomized response technique, and the experimental results have shown that the scheme has a much better performance than the existing RR schemes.