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(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
-objective symbiotic organism search (MOSOS/D) algorithm for truss structure optimization. The investigation is carried out on five … benchmark truss structures, e.g., 37-bar, 60-bar, 72-bar, 120-bar, and 200-bar truss problems. The optimization performance of …
Persistent link: https://www.econbiz.de/10014533493
Traditionally, product deletion is a reactive decision driven by low sales volume and profit margin. However, the complexities involved in product management and consumer behavior volatilities make it necessary to account for a broad range of financial and non-financial factors. Besides,...
Persistent link: https://www.econbiz.de/10013163108
Optimization Algorithm (WOA), and Ant Lion Optimizer (ALO) are compared to resolve large-scale problems by considering a sorting …
Persistent link: https://www.econbiz.de/10014541881
. 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
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