... to propose a hybrid particle swarm optimization (PSO) combined with dynamic programming (DPPSO) to solve cRALBP type-I. Design/methodology/approach Two different encoding schemes are presented for comparison. In the frequently used Scheme 1, a full encoding of task permutations and robot allocations...

... Heuristic Particle swarm optimization Industry 4.0 Automated guided vehicle scheduling Robotic assembly line balancing Assembly lines have been used extensively in the consumer electronics and automobile industries for the assembly of different products (Scholl and Becker, 2006). Over the years...

... of the robots' tasks based on a dynamic-distributed double-guided particle swarm optimization, namely, ACD³GPSO. Design/methodology/approach This approach is made out of two phases: phase I groups the tasks into clusters using the ACD³GPSO algorithm and phase II allocates the robots...

... Real Gabor filter model for inspection of copper surface defects under uneven illumination. This proposed method only requires a single filter by calculating the specific convolution energy of the Gabor filter with the image. The Real Gabor filter’s parameter is optimized by particle swarm optimization...

...Biwei Tang; Zhu Zhanxia; Jianjun Luo Purpose Aiming at obtaining a high-quality global path for a mobile robot which works in complex environments, a modified particle swarm optimization (PSO) algorithm, named random-disturbance self-adaptive particle swarm optimization (RDSAPSO), is proposed...

...Nianyin Zeng; Hong Zhang; Yanping Chen; Binqiang Chen; Yurong Liu Purpose This paper aims to present a novel particle swarm optimization (PSO) based on a non-homogeneous Markov chain and differential evolution (DE) for path planning of intelligent robot when having obstacles in the environment...

... multiple terminals in a constrained space with obstacles can be formulated as a rectilinear Steiner minimum tree with obstacles (RSMTO) problem while meeting certain engineering rules, which has been proved to be an NP‐hard and discrete problem. This paper presents a discrete particle swarm optimization...