Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
Adaptive Selection Methods for Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Weapon target assignment (WTA) problem is the problem of assigning weapons to targets with the objective of minimizing the expected damage of targets. In this work, a GA with a novel crossover operator is proposed for the particular WTA problem. The idea is to use a benefit level to identify good genes. The proposed algorithm is implemented and tested with a number of randomly generated WTA instances. The proposed algorithm outperforms its competitors on all test problems.