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. Due to the lack of a thorough analysis and listing of recent robotic articles which apply optimization techniques, this …
Persistent link: https://www.econbiz.de/10013163132
The cumulative scheduling problem has been traditionally represented using a discrete time formulation, incorporating the variable resource consumption of each job as decision variables. In our research, we aim to provide a more accessible approach to formulating a specific configuration of this...
Persistent link: https://www.econbiz.de/10014505214
This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns …
Persistent link: https://www.econbiz.de/10014505228
-Hard optimization problems, meaning that the best solution cannot be found within an acceptable time. Therefore, to handle this … optimization problem effectively, various alternative approaches based on either approximation or metaheuristic techniques have …
Persistent link: https://www.econbiz.de/10014505975
Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal number of hidden nodes and their appropriate initial locations remains a great challenge for WNNs' initialization. The cuckoo search...
Persistent link: https://www.econbiz.de/10014506437
(GA), Simulated Annealing (SA) and Particle Swarm Optimization (PSO), along with their combination GA-SA, and GA-PSO. It …
Persistent link: https://www.econbiz.de/10014541508
durations. Then, it builds several optimization models that use the ANN models' outcomes to schedule outpatient chemotherapy … visits. The performance of patient schedules obtained from these optimization models is assessed using simulation analysis to …
Persistent link: https://www.econbiz.de/10014541622
optimization problems with minimum computational effort. Their optimization performance is compared with respect to quality of the …
Persistent link: https://www.econbiz.de/10014541921
The Apparent Tardiness Cost (ATC) dispatching rule was initially developed to minimize tardiness in single-machine scheduling problems. ATC extensions have been frequently applied in other production settings, relying heavily on blocking idle machine capacity with a single-machine outlook; this...
Persistent link: https://www.econbiz.de/10014543471
multi-agent decision problems and resolving optimization issues in dynamic multi-agent game decision-making. Firstly, the …
Persistent link: https://www.econbiz.de/10014532373