Power management of hybrid fuel cell fixed wing UAVs using a fuzzy reinforcement learning system optimized with meta-heuristic methods. [PDF]
Sci RepRostami M, Farajollahi A, Habibi P.
europepmc +1 more source
Multi‑strategy Equilibrium Optimizer: An improved meta-heuristic tested on numerical optimization and engineering problems. [PDF]
PLoS One, 2022 Li Y, Liang X, Liu J, Zhou H.
europepmc +1 more source
Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
wiley +1 more source
Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications. [PDF]
Sci RepChen Y +5 more
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique. [PDF]
Sci Rep, 2023 Lai V +5 more
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A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
Intelligent accounting optimization method based on meta-heuristic algorithm and CNN. [PDF]
PeerJ Comput SciDong Y.
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Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]
Neural Process Lett, 2022 Kaveh M, Mesgari MS.
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This study introduces a data‐driven surrogate modelling framework that combines an artificial neural network (ANN) with particle swarm optimisation (PSO) and a genetic algorithm (GA) to optimise methanol production under uncertain conditions.
Muhammad Zulkefal +4 more
wiley +1 more source
Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. [PDF]
PLoS OneButt N +7 more
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