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days ahead. To solve this dilemma, we present a simulation-based genetic algorithm, which creates a roster with flexible …) extended by manual operations. Our algorithm iteratively uses reasonable solutions of the JSP as basis for roster optimization … repair operators in the genetic algorithm. We demonstrate the efficiency of our heuristic approach by comparison to rigid …
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The automatic generation of behavioural models for intelligent agents in military simulation and experimentation …
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solutions of such problems through exact methods are difficult. Hence, a meta-heuristic Genetic algorithm is used to optimize …
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algorithm is proposed to solve it. In this paper, we give a hybrid approach which combined genetic encoding and evolution scheme …
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algorithm. Moreover, to preserve desirable population diversity and improve the searching efficiency, we propose different … problem-specific evolutionary strategies. Finally, we test the performance of our proposed memetic algorithm with other state …-of-the-art multi-objective evolutionary algorithms and demonstrate the effectiveness of our proposed algorithm. …
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Combinatorial optimization problems are usually NP-hard and the solution space of them is very large. Therefore the set of feasible solutions cannot be evaluated one by one. Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are metaheuristic techniques...
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