An integrated and intelligent metaheuristic for constrained vehicle routing

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Designing multimodal public transport networks using metaheuristics

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Metaheuristics for the selection and scheduling of jobs with time-dependent durations by Le Roux, Gavin James

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Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter by Stadler, Johan George

Subjects: “…Metaheuristics…”
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A multi-objective optimisation suite for Tecnomatix Plant Simulation by Bamporiki, Toussaint

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Landscape analysis-based automated algorithm selection by Lang, Ryan Dieter

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Bus route design and frequency setting for public transit systems by Husselmann, Gunther

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Evolutionary algorithms for routing problems with drones with interceptions by Ernst, Rudolf Heinrich

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On two combinatorial optimisation problems involving lotteries by Du Plessis, Andre

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Determining optimal primary sawing and ripping machine settings in the wood manufacturing chain by Lindner, Berndt Gerald

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Multi-purpose applications of energy storage systems in a power system network by Okafor, Chukwuemeka Emmanuel

“…Battery energy storage systems (BESSs) are acknowledged by many researchers as the principal technology required to achieve a high penetration of renewable energy into the electricity network. However, the utilization of a BESS for a single application can lead to under-utilization and may not be economical. …”
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Operational scheduling and investigative planning for electric public transport in South Africa by Wüst, Jacques

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Ant Colony Optimization approaches for the Sequential Ordering Problem by Ezzar, Ahmed Mohamed Alaa El-din

“…We present two algorithms within the framework of the Ant Colony Optimization (ACO) metaheuristic. The rst algorithm seeks to increase the exploration bias of Gambardella et al.'…”
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Order sequencing and SKU arrangement on a unidirectional picking line by Matthews, Jason

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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…They are utilized mainly due to their robustness and ability to handle continuous state spaces, unlike the traditional RL method, which operates with discrete action and state domains. …”
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Generator maintenance scheduling based on the expected capability of satisfying energy demand by Eygelaar, Jancke

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Decision support for generator maintenance scheduling in the energy sector by Schlunz, Evert Barend

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Minimising the total travel distance to pick orders on a unidirectional picking line by De Villiers, Anton Pierre

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Modelling weapon assignment as a multiobjective decision problem by Lotter, Daniel Petrus

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