This paper proposed a novel distributed memetic evolutionary model, where four modules exploration, intensified exploitation, knowledge transfer, and restart are coevolved to maximize their strengths achieve superior global optimality. Distributed exploration evolves three independent populations by heterogenous operators. Intensified exploitation an external elite archive in parallel with bala...

This work details the research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search to the Differential Evolution, effectively merging a nature inspired swarm intelligence algorithm with a biologically inspired evolutionary algorithm. The results reported herein suggest that the hybrid algorithm, exploiting information sharing between the populati...

Obtaining an optimal process plan according to all alternative manufacturing resources has become very important task in flexible process planning problem research. In this paper, we use a novel nature-inspired algorithm called Ant Lion Optimizer (ALO) to solve this NP-hard combinatorial optimization problem. The network representation is adopted to describe flexibilities in process planning an...

This paper presents novel krill herd (KH) nature-inspired metaheuristics for solving portfolio optimization task. Krill herd algorithm mimics the herding behavior of krill individuals. The objective function for the krill movement is defined by the minimum distances of each individual krill from food and from higher density of the herd. Constrained portfolio optimization problem extends the cla...