Journal ArticleDOI
jMetal: A Java framework for multi-objective optimization
Juan J. Durillo,Antonio J. Nebro +1 more
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This paper describes jMetal, an object-oriented Java-based framework aimed at the development, experimentation, and study of metaheuristics for solving multi-objective optimization problems, and includes two case studies to illustrate the use of jMetal in both solving a problem with a metaheuristic and designing and performing an experimental study.About:
This article is published in Advances in Engineering Software.The article was published on 2011-10-01. It has received 1025 citations till now. The article focuses on the topics: Metaheuristic & Multi-objective optimization.read more
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Proceedings ArticleDOI
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets
TL;DR: In this article, a lazy greedy algorithm exploiting the submodular property of the hypervolume indicator is proposed to avoid unnecessary hypervolume contribution calculation when finding the solution with the largest contribution.
Proceedings ArticleDOI
Distributed genetic algorithm to big data clustering
TL;DR: A mapping between graph clustering problem and data clustering is described using genetic algorithms and multi-objective optimization as well as distributed graph stores to transform big data into Distributed RDF graphs and produce clusters by maximizing graph modularity as a main objective.
Proceedings ArticleDOI
Analysis of Objectives Relationships in Multiobjective Problems Using Trade-Off Region Maps
TL;DR: This technique looks at conflicting, harmonious and independent objectives relationships from different perspectives by using correlation, trade-off regions maps and scatter-plots in a four step approach to identify local and complex relationships between objectives.
Journal ArticleDOI
Breast cancer diagnosis using thermal image analysis: A data-driven approach based on swarm intelligence and supervised learning for optimized feature selection
Mariana Macedo,Maíra Araújo de Santana,Wellington Pinheiro dos Santos,Ronaldo Menezes,Carmelo J. A. Bastos-Filho +4 more
TL;DR: A methodology for detecting and classifying breast lesions using a database of real images of Brazilian patients is proposed and it is demonstrated that the extracted features considering the shape of breast lesions are highly important to a high diagnostic accuracy.
Journal ArticleDOI
Search-based test case implantation for testing untested configurations
TL;DR: SBI can be applied to automatically implant a test suite with the aim of testing untested configurations and thus achieving higher configuration coverage.
References
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Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Journal ArticleDOI
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Eckart Zitzler,Lothar Thiele +1 more
TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
Journal ArticleDOI
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
Book
Evolutionary algorithms for solving multi-objective problems
TL;DR: This paper presents a meta-anatomy of the multi-Criteria Decision Making process, which aims to provide a scaffolding for the future development of multi-criteria decision-making systems.
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