An analysis of the effects of population structure on scalable multiobjective optimization problems
- 7 July 2007
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 845-852
- https://doi.org/10.1145/1276958.1277124
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Multiobjective Evolutionary Algorithms on Complex NetworksPublished by Springer Nature ,2007
- Selection Intensity in Cellular Evolutionary Algorithms for Regular LatticesIEEE Transactions on Evolutionary Computation, 2005
- Takeover time curves in random and small-world structured populationsPublished by Association for Computing Machinery (ACM) ,2005
- The Exploration/Exploitation Tradeoff in Dynamic Cellular Genetic AlgorithmsIEEE Transactions on Evolutionary Computation, 2005
- A New Analysis of the LebMeasure Algorithm for Calculating HypervolumeLecture Notes in Computer Science, 2005
- Scalable multi-objective optimization test problemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Combining Convergence and Diversity in Evolutionary Multiobjective OptimizationEvolutionary Computation, 2002
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002
- Approximating the Nondominated Front Using the Pareto Archived Evolution StrategyEvolutionary Computation, 2000
- Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approachIEEE Transactions on Evolutionary Computation, 1999