Recent advances in metaheuristics have shown the advantages of using Lévy distribution, which models a kind random walk (named “Lévy flight”) with occasional “big” steps. This characteristic makes flight especially useful for performing large “jumps” that allow search to escape from local optimum and restart different region space. In this paper, we investigate idea by applying Jaya, simple yet...

Formation of effective teams of experts has played a crucial role in successful projects especially in social networks. In this paper, a new particle swarm optimization (PSO) algorithm is proposed for solving a team formation optimization problem by minimizing the communication cost among experts. The proposed algorithm is called by improved particle optimization with new swap operator (IPSONSO...

Physical activity is beneficial for people with dementia, but little research explores subjective experiences of physical activity in this population. Interpretive description guided the analysis of 26 interviews conducted with 12 people with dementia. Three themes described the subjective meaning of everyday physical activity: Participants were attracted to activity because it improved physica...

Simulation optimization problems with stochastic constraints are deterministic cost functions subject to constraints. Solving the considered problem by traditional approaches is time-consuming if search space large. In this work, an approach integration of beluga whale and ordinal presented resolve in a relatively short time frame. The proposed composed three levels: emulator, diversification, ...