At the late evolution stage of the basic particle swarm optimization (BPSO), convergence process starts to slow down and the best fitness particle fluctuates around the globally-optimal solution, which may give rise to decrease on convergence precision of the BPSO. Therefore, an improved algorithm for particle swarm optimization was proposed. The modified version of PSO uses a controllable velo...

Inspired by particle swarm optimization (PSO) algorithm, a binary artificial bee colony algorithm (BABC) based on PSO was proposed. In the proposed algorithm, global best parameter was incorporated into BABC algorithm, which makes the exploitation capacity improved and convergence speed quickened. At the same time, in order to maintain the population diversity, the bit mutation operator was acc...

Previous research has shown that the selective remembering of a speaker and the resulting silences can cause forgetting of related, but unmentioned information by a listener (Cuc, Koppel, & Hirst, 2007). Guided by more recent work that demonstrated both detrimental and beneficial effects of selective memory retrieval in individuals, the present research explored the effects of selective remembe...