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The problem of long-term production planning of open pit mines is a large combinatorial problem. Application of mathematical programming approaches suffer from reduced computational efficiency due to the large amount of decision variables. This paper presents a new metaheuristic approximation...
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Optimum reservoir operation is a challenging problem in water resources systems. In this paper, Intelligent Water Drops (IWD) algorithm is applied in a reservoir operation problem. IWD is a population based algorithm and is initially proposed for solving combinatorial problems. The algorithm...
Persistent link: https://www.econbiz.de/10010794258
This paper studies the simultaneous dock assignment and sequencing of inbound trucks for a multi-door cross docking operation with the objective to minimize total weighted tardiness, under a fixed outbound truck departure schedule. The problem is newly formulated and solved by six different...
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the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. ‘Simheuristics' allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …
Persistent link: https://www.econbiz.de/10011825912
In this study, we propose a reinforcement learning (RL) approach for minimizing the number of work overload situations in the mixed model sequencing (MMS) problem with stochastic processing times. The learning environment simulates stochastic processing times and penalizes work overloads with...
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