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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Proceedings ArticleDOI
Scenario-based design space exploration of MPSoCs
TL;DR: This paper presents and evaluates a novel, scenario-based DSE approach based on a coevolutionary genetic algorithm, and introduces the concept of workload scenarios in the DSE process, capturing dynamic behavior both within and between applications.
Proceedings ArticleDOI
A fast approximation-guided evolutionary multi-objective algorithm
Markus Wagner,Frank Neumann +1 more
TL;DR: The experiments show that AGE-II performs very well for multi-objective problems having few as well as many objectives, and it scales well with the number of objectives and enables practitioners to add objectives to their problems at small additional computational cost.
Proceedings ArticleDOI
A model-based evolutionary algorithm for bi-objective optimization
TL;DR: A model-based evolutionary algorithm (M-MOEA) for bi-objective optimization problems that uses a probability model to capture the regularity of the distribution of the Pareto optimal solutions.
Journal ArticleDOI
Multi-objective energy and daylight optimization of amorphous shading devices in buildings
TL;DR: This work proposes novel design alternatives of energy-efficient shading device with panels in amorphous forms generated by parametric modeling and performance evaluation-based optimization in contrast with the conventionally designed structures.
Proceedings ArticleDOI
Interactive MOEA/D for multi-objective decision making
TL;DR: iMOEA/D can handle the preference information very well and successfully converge to the expected preferred regions and is tested on some benchmark problems, and various utility functions are used to simulate the DM's responses.