Mutasem K. Alsmadi1,*, Ghaith M. Jaradat2, Malek Alzaqebah3, Ibrahim ALmarashdeh1, Fahad A. Alghamdi1, Rami Mustafa A. Mohammad4, Nahier Aldhafferi4, Abdullah Alqahtani4
CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1995-2014, 2022, DOI:10.32604/cmc.2022.025077
- 24 February 2022
Abstract Timetabling problem is among the most difficult operational tasks and is an important step in raising industrial productivity, capability, and capacity. Such tasks are usually tackled using metaheuristics techniques that provide an intelligent way of suggesting solutions or decision-making. Swarm intelligence techniques including Particle Swarm Optimization (PSO) have proved to be effective examples. Different recent experiments showed that the PSO algorithm is reliable for timetabling in many applications such as educational and personnel timetabling, machine scheduling, etc. However, having an optimal solution is extremely challenging but having a sub-optimal solution using heuristics or metaheuristics is… More >
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