Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Solving Multiobjective Optimization Problems Using an Artificial Immune System
Genetic Programming and Evolvable Machines
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Multiobjective immune algorithm with nondominated neighbor-based selection
Evolutionary Computation
WBMOAIS: A novel artificial immune system for multiobjective optimization
Computers and Operations Research
Coupling of immune algorithms and game theory in multiobjective optimization
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
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In order to make decisions in multi-criteria environments there is a need to find solutions with compromises. They are compromises for all criteria and create a set of solutions named the Pareto frontier. Based on these possibilities the decision maker can choose the best solution by looking at the current preferences. This paper is dedicated to methods of finding solutions in multi-criteria environments using Artificial Immune System and game theory, and coupling both approaches to create a new intelligent hybrid system of decision making.