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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Pareto Optimization or Cascaded Weighted Sum: A Comparison of Concepts
Wilfried Jakob,Christian Blume +1 more
TL;DR: This paper presents a classification of application scenarios and compares the Pareto approach with an extended version of the weighted sum, called cascaded weightedsum, for the different scenarios.
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Basics of genetic algorithms optimization for RAMS applications
TL;DR: The necessity of affine transforming the fitness function, object of the optimization, is discussed in detail, together with the transformation itself and how to handle constraints by the penalization approach is illustrated.
Journal ArticleDOI
Multi-objective energy-efficient dense deployment in Wireless Sensor Networks using a hybrid problem-specific MOEA/D
Andreas Konstantinidis,Kun Yang +1 more
TL;DR: A Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) hybridized with a problem-specific Generalized Subproblem-dependent Heuristic (GSH), is proposed, providing a diverse set of high-quality near-optimal network designs to facilitate the decision making process.
Journal ArticleDOI
A systematic approach to the design of distributed wearable systems
TL;DR: This work presents a model that allows various factors influencing the design of a wearable system to be incorporated into formal cost metrics and demonstrates how systematic design and quantitative analysis can be applied to wearable architectures.
Posted Content
A Many-Objective Evolutionary Algorithm with Angle-Based Selection and Shift-Based Density Estimation
TL;DR: In this paper, an angle-based selection strategy and a shift-based density estimation strategy are employed in the environmental selection to delete the poor individuals one by one, and the experimental results suggest that AnD can achieve highly competitive performance.