An improved bi-objective salp swarm algorithm based on decomposition for green scheduling in �exible manufacturing cellular environments with multiple automated guided vehicles

HIGHLIGHTS

• who: jihua zhang from the School of Mechanical Engineering, Tongji University, Shanghai, PR China have published the research: An improved bi-objective salp swarm algorithm based on decomposition for green scheduling in ufffdexible manufacturing cellular environments with multiple automated guided vehicles, in the Journal: (JOURNAL)
• what: Ingredient of the IMOSSA/D Population initialization Competition mechanism of crossover operators Improved SSA Stochastic-distribution-based operators EA maintenance Total Computational complexity ud835udc42(ud835udc41ud835udc37) ud835udc42(ud835udc41ud835udc37) ud835udc42(ud835udc41ud835udc37) ud835udc42(ud835udc41ud835udc37) ud835udc42(ud835udc41 2 ) ud835udc42(ud835udc41 2 + ud835udc41ud835udc37) Computational experiments To evaluate the performance of the IMOSSA/D proposed . . .
  

   

  

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