Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Solving Multiobjective Optimization Problems Using an Artificial Immune System
Genetic Programming and Evolvable Machines
Constrained Multiobjective Optimization Immune Algorithm: Convergence and Application
Computers & Mathematics with Applications
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Journal of Artificial Intelligence Research
A population and interval constraint propagation algorithm
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Multiobjective programming using uniform design and genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Evolutionary Computation
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Multicriteria programming in medical diagnosis and treatments
Applied Soft Computing
An interactive co-evolutionary CAD system for garment pattern design
Computer-Aided Design
Expert Systems with Applications: An International Journal
An immune co-evolutionary algorithm based approach for optimization control of gas turbine
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Engineering Applications of Artificial Intelligence
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Immune clone selection algorithm for fuzzy logic controller design
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
A Survey of artificial immune applications
Artificial Intelligence Review
Expert Systems with Applications: An International Journal
A novel micro-population immune multiobjective optimization algorithm
Computers and Operations Research
Cooperative particle swarm optimization for multiobjective transportation planning
Applied Intelligence
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A new dynamical immune optimization algorithm for constrained nonlinear multiobjective optimization problems over continuous domains is proposed based on both the concept of Pareto optimality and simple interactive metaphors between antibody population and multiple antigens as well as ideas of T cell regulation. The focus of design is concentrated on constructing one constraint-handling technique associated with uniform design reported and designing one antibody evolution mechanism through utilizing simplified metaphors of humoral immune response of the immune system. The former is to provide an alternative feasible solution set for dealing with constraints and infeasible solutions created during the execution of the algorithm, while helping for rapidly finding Pareto-optimal solutions; the latter generates multiple excellent feasible solutions so that the desired solutions will be gradually obtained. Theoretically, its weak convergence is proven by using Markov theory, while the experimental results demonstrate its strong convergence. Through application to difficult test problems, comparative results illustrate it is potential for the algorithm to cope with high dimensional complex optimization problems with multiple constraints.