IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
Exploiting gradient information in numerical multi--objective evolutionary optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Combining gradient techniques for numerical multi-objective evolutionary optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Analysis of a multiobjective evolutionary algorithm on the 0-1 knapsack problem
Theoretical Computer Science
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Multiobjective real-coded bayesian optimization algorithmrevisited: diversity preservation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
Proceedings of the 9th annual conference on Genetic and evolutionary computation
An Evolutionary RBFNN Learning Algorithm for Complex Classzification Problems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Diversity Management Operator for Evolutionary Many-Objective Optimisation
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Investigating technical trading strategy via an multi-objective evolutionary platform
Expert Systems with Applications: An International Journal
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A competitive-cooperative coevolutionary paradigm for dynamic multiobjective optimization
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II
IEEE Transactions on Evolutionary Computation
Convergence acceleration operator for multiobjective optimization
IEEE Transactions on Evolutionary Computation
Optimal contraction theorem for exploration-exploitation tradeoff in search and optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Convergence time analysis for the multi-objective counting ones problem
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
multi-multi-objective optimization problem and its solution by a MOEA
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Adequacy of empirical performance assessment for multiobjective evolutionary optimizer
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Multi-objective genetic programming for improving the performance of TCP
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
A cooperative coevolution algorithm of RBFNN for classification
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
An investigation on noise-induced features in robust evolutionary multi-objective optimization
Expert Systems with Applications: An International Journal
Handling uncertainties in evolutionary multi-objective optimization
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
A favorable weight-based evolutionary algorithm for multiple criteria problems
IEEE Transactions on Evolutionary Computation
A diversity preserving selection in multiobjective evolutionary algorithms
Applied Intelligence
Simultaneous concept-based evolutionary multi-objective optimization
Applied Soft Computing
A territory defining multiobjective evolutionary algorithms and preference incorporation
IEEE Transactions on Evolutionary Computation
Bicriteria p-Hub Location Problems and Evolutionary Algorithms
INFORMS Journal on Computing
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
Diversity improvement by non-geometric binary crossover in evolutionary multiobjective optimization
IEEE Transactions on Evolutionary Computation
Optimization of storage location assignment for fixed rack systems
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Ectropy of diversity measures for populations in Euclidean space
Information Sciences: an International Journal
Preference-driven co-evolutionary algorithms show promise for many-objective optimisation
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
A hybrid adaptive multi-objective memetic algorithm for 0/1 knapsack problem
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
A new adaptive crossover operator for the preservation of useful schemata
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Dynamic archive evolution strategy for multiobjective optimization
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Exploiting comparative studies using criteria: generating knowledge from an analyst's perspective
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
The naive MIDEA: a baseline multi-objective EA
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A hybrid self-adjusted memetic algorithm for multi-objective optimization
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Multiobjective optimization by a modified artificial immune system algorithm
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
A hybrid multiobjective evolutionary algorithm: Striking a balance with local search
Mathematical and Computer Modelling: An International Journal
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms
Operations Research Letters
On the performance metrics of multiobjective optimization
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
A local multiobjective optimization algorithm using neighborhood field
Structural and Multidisciplinary Optimization
Elitist archiving for multi-objective evolutionary algorithms: to adapt or not to adapt
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Clustering-Based multi-objective immune optimization evolutionary algorithm
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Advances in evolutionary multi-objective optimization
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
An integrated selection and scheduling for disjunctive network problems
Computers and Industrial Engineering
On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithm
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Many-objective optimization using differential evolution with variable-wise mutation restriction
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
International Journal of Metaheuristics
A hybrid genetic approach for multi-objective and multi-platform large volume surveillance problem
International Journal of Metaheuristics
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Over the last decade, a variety of evolutionary algorithms (EAs) have been proposed for solving multiobjective optimization problems. Especially more recent multiobjective evolutionary algorithms (MOEAs) have been shown to be efficient and superior to earlier approaches. An important question however is whether we can expect such improvements to converge onto a specific efficient MOEA that behaves best on a large variety of problems. In this paper, we argue that the development of new MOEAs cannot converge onto a single new most efficient MOEA because the performance of MOEAs shows characteristics of multiobjective problems. While we point out the most important aspects for designing competent MOEAs in this paper, we also indicate the inherent multiobjective tradeoff in multiobjective optimization between proximity and diversity preservation. We discuss the impact of this tradeoff on the concepts and design of exploration and exploitation operators. We also present a general framework for competent MOEAs and show how current state-of-the-art MOEAs can be obtained by making choices within this framework. Furthermore, we show an example of how we can separate nondomination selection pressure from diversity preservation selection pressure and discuss the impact of changing the ratio between these components.