Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Combining convergence and diversity in evolutionary multiobjective optimization
Evolutionary Computation
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Step-Size Adaption Based on Non-Local Use of Selection Information
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
PISA: a platform and programming language independent interface for search algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
An EMO algorithm using the hypervolume measure as selection criterion
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Reducing the run-time complexity of multiobjective EAs: The NSGA-II and other algorithms
IEEE Transactions on Evolutionary Computation
Do additional objectives make a problem harder?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
On the design of optimisers for surface reconstruction
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Objective reduction using a feature selection technique
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Analyzing Hypervolume Indicator Based Algorithms
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Quality Assessment of Pareto Set Approximations
Multiobjective Optimization
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Online Objective Reduction to Deal with Many-Objective Problems
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Many-Objective Optimization for Knapsack Problems Using Correlation-Based Weighted Sum Approach
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Objective reduction in evolutionary multiobjective optimization: Theory and applications
Evolutionary Computation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Study of preference relations in many-objective optimization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Single-objective and multi-objective formulations of solution selection for hypervolume maximization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Some techniques to deal with many-objective problems
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
On the effects of adding objectives to plateau functions
IEEE Transactions on Evolutionary Computation
Statistical methods for convergence detection of multi-objective evolutionary algorithms
Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
HM'07 Proceedings of the 4th international conference on Hybrid metaheuristics
Simulated evolution under multiple criteria conditions revisited
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
A grid-based fitness strategy for evolutionary many-objective optimization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Simultaneous use of different scalarizing functions in MOEA/D
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Alternative fitness assignment methods for many-objective optimization problems
EA'09 Proceedings of the 9th international conference on Artificial evolution
Enhancing diversity for average ranking method in evolutionary many-objective optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
On the distribution of EMOA hypervolumes
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
A fast steady-state ε-dominance multi-objective evolutionary algorithm
Computational Optimization and Applications
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Self-controlling dominance area of solutions in evolutionary many-objective optimization
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Hype: An algorithm for fast hypervolume-based many-objective optimization
Evolutionary Computation
A taxonomy of online stopping criteria for multi-objective evolutionary algorithms
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Preference-driven co-evolutionary algorithms show promise for many-objective optimisation
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Adaptive objective space partitioning using conflict information for many-objective optimization
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Effects of the existence of highly correlated objectives on the behavior of MOEA/D
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Many-objective directed evolutionary line search
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Achieving balance between proximity and diversity in multi-objective evolutionary algorithm
Information Sciences: an International Journal
Alleviate the hypervolume degeneration problem of NSGA-II
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Genetic diversity and effective crossover in evolutionary many-objective optimization
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Leveraging indicator-based ensemble selection in evolutionary multiobjective optimization algorithms
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Recombination of similar parents in SMS-EMOA on many-objective 0/1 knapsack problems
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
New fitness sharing approach for multi-objective genetic algorithms
Journal of Global Optimization
A comparison of different algorithms for the calculation of dominated hypervolumes
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Finding a diverse set of decision variables in evolutionary many-objective optimization
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Borg: An auto-adaptive many-objective evolutionary computing framework
Evolutionary Computation
Proceedings of the 2013 International Conference on Software Engineering
A multi-objective approach to the application of real-world production scheduling
Expert Systems with Applications: An International Journal
Annals of Mathematics and Artificial Intelligence
Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems
Annals of Mathematics and Artificial Intelligence
General framework for localised multi-objective evolutionary algorithms
Information Sciences: an International Journal
Objective space partitioning using conflict information for solving many-objective problems
Information Sciences: an International Journal
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Research within the area of Evolutionary Multi-objective Optimization (EMO) focused on two- and three-dimensional objective functions, so far. Most algorithms have been developed for and tested on this limited application area. To broaden the insight in the behavior of EMO algorithms (EMOA) in higher dimensional objective spaces, a comprehensive benchmarking is presented, featuring several state-of-the-art EMOA, as well as an aggregative approach and a restart strategy on established scalable test problems with three to six objectives. It is demonstrated why the performance of well-established EMOA (NSGAII, SPEA2) rapidly degradates with increasing dimension. Newer EMOA like Ɛ -MOEA, MSOPS, IBEA and SMS-EMOA cope very well with high-dimensional objective spaces. Their specific advantages and drawbacks are illustrated, thus giving valuable hints for practitioners which EMOA to choose depending on the optimization scenario. Additionally, a new method for the generation of weight vectors usable in aggregation methods is presented.