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
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Towards a quick computation of well-spread pareto-optimal solutions
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
The measure of Pareto optima applications to multi-objective metaheuristics
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Properties of an adaptive archiving algorithm for storing nondominated vectors
IEEE Transactions on Evolutionary Computation
An efficient multi-objective evolutionary algorithm with steady-state replacement model
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Covariance Matrix Adaptation for Multi-objective Optimization
Evolutionary Computation
ICSPEA: evolutionary five-axis milling path optimisation
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
Integrating user preferences with particle swarms for multi-objective optimization
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
SPAM: Set Preference Algorithm for Multiobjective Optimization
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Consideration of Partial User Preferences in Evolutionary Multiobjective Optimization
Multiobjective Optimization
Meta-Modeling in Multiobjective Optimization
Multiobjective Optimization
Advances in Engineering Software
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
Don't be greedy when calculating hypervolume contributions
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
On the Effect of the Steady-State Selection Scheme in Multi-Objective Genetic Algorithms
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
Optimizing the Door Assignment in LTL-Terminals
Transportation Science
Multiplicative approximations and the hypervolume indicator
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
Increasing the production accuracy of profile bending with methods of computational intelligence
Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Updating exclusive hypervolume contributions cheaply
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
On the complexity of computing the hypervolume indicator
IEEE Transactions on Evolutionary Computation
Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Pareto-, aggregation-, and indicator-based methods in many-objective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
The multiple multi objective problem: definition, solution and evaluation
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Test problems based on Lamé superspheres
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
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
On set-based multiobjective optimization
IEEE Transactions on Evolutionary Computation
A mono surrogate for multiobjective optimization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
The maximum hypervolume set yields near-optimal approximation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Tight bounds for the approximation ratio of the hypervolume indicator
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Evolutionary multiobjective optimization algorithm as a Markov system
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Parameter tuning boosts performance of variation operators in multiobjective optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
A hybrid scalarization and adaptive ε-ranking strategy for many-objective optimization
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
Digital IIR filter design using multi-objective optimization evolutionary algorithm
Applied Soft Computing
An efficient algorithm for computing hypervolume contributions**
Evolutionary Computation
Intelligent process planning methods for the manufacturing of moulds
International Journal of Computer Applications in Technology
The logarithmic hypervolume indicator
Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms
Hype: An algorithm for fast hypervolume-based many-objective optimization
Evolutionary Computation
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
A concentration-based artificial immune network for multi-objective optimization
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Information Sciences: an International Journal
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Pareto set and EMOA behavior for simple multimodal multiobjective functions
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications
Theoretical Computer Science
Approximating the least hypervolume contributor: NP-hard in general, but fast in practice
Theoretical Computer Science
Approximation-guided evolutionary multi-objective optimization
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
A new multi-objective evolutionary algorithm based on a performance assessment indicator
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Parallel predator---prey interaction for evolutionary multi-objective optimization
Natural Computing: an international journal
Quantum control experiments as a testbed for evolutionary multi-objective algorithms
Genetic Programming and Evolvable Machines
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: applications and case studies - Volume Part II
Approximation quality of the hypervolume indicator
Artificial Intelligence
A fast approximation-guided evolutionary multi-objective algorithm
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Population size matters: rigorous runtime results for maximizing the hypervolume indicator
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Multi-criteria scheduling: an agent-based approach for expert knowledge integration
Journal of Scheduling
GAME: GPU accelerated multipurpose evolutionary algorithm library
International Journal of Innovative Computing and Applications
General framework for localised multi-objective evolutionary algorithms
Information Sciences: an International Journal
Information Sciences: an International Journal
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The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea to use this measure for selection is self-evident. A steady-state EMOA will be devised, that combines concepts of non-dominated sorting with a selection operator based on the hypervolume measure. The algorithm computes a well distributed set of solutions with bounded size thereby focussing on interesting regions of the Pareto front(s). By means of standard benchmark problems the algorithm will be compared to other well established EMOA. The results show that our new algorithm achieves good convergence to the Pareto front and outperforms standard methods in the hypervolume covered. We also studied the applicability of the new approach in the important field of design optimization. In order to reduce the number of time consuming precise function evaluations, the algorithm will be supported by approximate function evaluations based on Kriging metamodels. First results on an airfoil redesign problem indicate a good performance of this approach, especially if the computation of a small, bounded number of well-distributed solutions is desired.