An introduction to differential evolution
New ideas in optimization
Differential Evolution Training Algorithm for Feed-Forward Neural Networks
Neural Processing Letters
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Multiobjective optimization using a Pareto differential evolution approach
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
A new proposal for multi-objective optimization using differential evolution and rough sets theory
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Rotated test problems for assessing the performance of multi-objective optimization algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Covariance Matrix Adaptation for Multi-objective Optimization
Evolutionary Computation
Differential evolution and non-separability: using selective pressure to focus search
Proceedings of the 9th annual conference on Genetic and evolutionary computation
A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Computers and Operations Research
Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II
IEEE Transactions on Evolutionary Computation
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
Automatic clustering with multi-objective differential evolution algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multi-objective optimum design of balanced SAW filters using generalized differential evolution
WSEAS TRANSACTIONS on SYSTEMS
Data Clustering Using Multi-objective Differential Evolution Algorithms
Fundamenta Informaticae
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
Differential evolution versus genetic algorithms in multiobjective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
A differential evolution variant of NSGA II for real world multiobjective optimization
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
HCS: a new local search strategy for memetic multiobjective evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Differential evolution algorithm with ensemble of parameters and mutation strategies
Applied Soft Computing
Improved differential evolution approach for optimization of surface grinding process
Expert Systems with Applications: An International Journal
A three-strategy based differential evolution algorithm for constrained optimization
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Multi-operator based evolutionary algorithms for solving constrained optimization problems
Computers and Operations Research
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Differential evolution for RFID antenna design: a comparison with ant colony optimisation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Self-adaptive mutation in the differential evolution
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A fast and effective method for pruning of non-dominated solutions in many-objective problems
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
On an evolutionary approach for constrained optimization problem solving
Applied Soft Computing
Data Clustering Using Multi-objective Differential Evolution Algorithms
Fundamenta Informaticae
Simplified swarm optimization with differential evolution mutation strategy for parameter search
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Self-adaptive differential evolution incorporating a heuristic mixing of operators
Computational Optimization and Applications
Expert Systems with Applications: An International Journal
Self organizing classifiers and niched fitness
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Environmental Modelling & Software
Repairing the crossover rate in adaptive differential evolution
Applied Soft Computing
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This paper demonstrates that the self-adaptive technique of Differential Evolution (DE) can be simply used for solving a multi-objective optimization problem where parameters are interdependent The real-coded crossover and mutation rates within the NSGA-II have been replaced with a simple Differential Evolution scheme, and results are reported on a rotated problem which has presented difficulties using existing Multi-objective Genetic Algorithms The Differential Evolution variant of the NSGA-II has demonstrated rotational invariance and superior performance over the NSGA-II on this problem.