Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation
Author:
- 1 January 2005
- journal article
- Published by Springer Nature in Journal of Mathematical Modelling and Algorithms
- Vol. 3 (4) , 323-347
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Reducing the Run-Time Complexity of Multiobjective EAs: The NSGA-II and Other AlgorithmsIEEE Transactions on Evolutionary Computation, 2003
- Multiobjective genetic programming: reducing bloat using SPEA22002
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002
- Subcost-Guided Search—Experiments with Timetabling ProblemsJournal of Heuristics, 2001
- Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic ProgrammingGenetic Programming and Evolvable Machines, 2001
- Permutation Tests2000
- Fast Algorithms for Geometric Traveling Salesman ProblemsINFORMS Journal on Computing, 1992
- New Search Spaces for Sequencing Problems with Application to Job Shop SchedulingManagement Science, 1992
- On the Average Number of Maxima in a Set of Vectors and ApplicationsJournal of the ACM, 1978
- Algorithms for Solving Production-Scheduling ProblemsOperations Research, 1960