Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Coalition calculation in a dynamic agent environment
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Immune optimization algorithm for constrained nonlinear multiobjective optimization problems
Applied Soft Computing
Adaptive genetic algorithms applied to dynamic multiobjective problems
Applied Soft Computing
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Dynamic multiobjective optimization problems: test cases, approximations, and applications
IEEE Transactions on Evolutionary Computation
Evolutionary optimization in uncertain environments-a survey
IEEE Transactions on Evolutionary Computation
Non-even spread NSGA-II and its application to conflicting multi-objective compatible control
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A Novel Artificial Immune System for Multiobjective Optimization Problems
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
WBMOAIS: A novel artificial immune system for multiobjective optimization
Computers and Operations Research
Discussions of worker ants' rule-based CHC dealing with changing environments
Applied Soft Computing
Effects of Similarity-Based Selection on WBMOIA: A Weight-Based Multiobjective Immune Algorithm
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
A novel micro-population immune multiobjective optimization algorithm
Computers and Operations Research
Benchmarks for dynamic multi-objective optimisation algorithms
ACM Computing Surveys (CSUR)
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A novel multiobjective optimization immune algorithm in dynamic environments, as associated with Pareto optimality and immune metaphors of germinal center in the immune system, is proposed to deal with a class of dynamic multiobjective optimization problems which the dimension of the objective space may change over time. Several immune operators, depending on both somatic maturation and T-cell regulation, are designed to adapt to the changing environment so that the algorithm can achieve a reasonable tradeoff between convergence and diversity of population, among which an environmental recognition rule related to the past environmental information is established to identify an appearing environment. Preliminary experiments show that the proposed algorithm cannot only obtain great superiority over two popular algorithms, but also continually track the time-varying environment. Comparative analysis and practical application illustrate its potential.