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
Estimating Security Coverage for Cloud Services
Dipankar Dasgupta,Moshiur Rahman +1 more
TL;DR: A framework to estimate security coverage for different type of service offerings is described, called MEGHNAD, which can serve as a specialized Cloud Doctor in prescribing the right combination of security tools for different cloud services and according to the level of security assurance required.
Proceedings ArticleDOI
Multi-objective OLSR optimization for VANETs
Jamal Toutouh,Enrique Alba +1 more
TL;DR: This study applied a multi-objective optimization metaheuristic, in order to find efficient OLSR parameterizations that improve the QoS of the O LSR RFC and a previous optimized configurations, and significantly reduces OlsR scalability problems keeping competitive packet delivery rates.
Book ChapterDOI
Multi-objective Memetic Algorithm Based on NSGA-II and Simulated Annealing for Calibrating CORSIM Micro-Simulation Models of Vehicular Traffic Flow
Carlos Cobos,Cristian Erazo,Julio Luna,Martha Mendoza,Carlos Gaviria,Cristian Arteaga,Alexander Paz +6 more
TL;DR: In this paper, a multi-objective memetic algorithm based on NSGA-II and Simulated Annealing (SA) was proposed for calibration of microscopic vehicular traffic flow simulation models.
Proceedings ArticleDOI
MOTCP: A tool for the prioritization of test cases based on a sorting genetic algorithm and Latent Semantic Indexing
TL;DR: MOTCP is a software tool that implements a multi-objective test prioritization technique based on the information related to the code and requirements coverage, as well as the execution cost of each test case.
Journal ArticleDOI
Micro-time variant multi-objective particle swarm optimization (micro-TVMOPSO) of a solar thermal combisystem
Anthony Rey,Radu Zmeureanu +1 more
TL;DR: This paper proposes a micro-time variant multi-objective particle swarm optimization (micro-TVMOPSO), which is a revised version of the micro- MOPSO algorithm, and results indicated that the number of solar thermal collectors is the variable having the most effect on both LCC and LCE.
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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