The selection of a pharmaceutical supplier is a critical task within a hospital. Dealing with the
wrong supplier may plague the overall healthcare supply chain, especially patient's life …

Particle Swarm Optimization (PSO) is a widespread evolutionary technique that has
successfully solved diverse optimization problems across various application fields …

Simulated Annealing algorithm (SA) is a well-known probabilistic heuristic. It mimics the
annealing process in metallurgy to approximate the global minimum of an optimization …

The Simulated Annealing (SA) is a stochastic local search algorithm. It is an adaptation of
the Metropolis-Hastings Monte Carlo algorithm. SA mimics the annealing process in …

Particle swarm optimization (PSO) is a stochastic algorithm based population that integrates
social interactions of animals in nature. One of the main challenges within PSO is to balance …

The classical PSO algorithm can be affected with premature convergence when it comes to
more complex optimization problems; the resolution easily can be trapped into local optima …

This paper focuses on the integrated problem of long-term planning and short-term
scheduling in a large-scale refinery-petrochemical complex, and considers the overall …

The simulated annealing (SA) is amongst the well-known algorithms for stochastic
optimization. Unfortunately, its major weakness is the slow rate of convergence, leading to a …

The assembly line is generally known as the last stage of the production processes. It
constitutes the main production paradigm of the manufacturing industry. Thus, the …

Abstract The Simulated Annealing (SA) is a stochastic local search algorithm. Its efficiency
involves the adaptation of the cooling law. In this paper, we integrate Hidden Markov Model …