Window-based multi-objective optimization for dynamic patient scheduling with problem-specific operators

HIGHLIGHTS

• who: Ali Nader Mahmed and M. N. M. Kahar from the Faculty of Computing, College of Computing and Applied Sciences, Universiti Malaysia Pahang have published the research work: Window-Based Multi-Objective Optimization for Dynamic Patient Scheduling with Problem-Specific Operators, in the Journal: Computers 2022, 11, x FOR PEER REVIEW of /2022/
• what: An evaluation of the models proposed in the article and comparison with traditional models reveals the superiority of the proposed multi-objective optimization with incorporation in terms of optimality. The literature review concerning the developed PAS algorithms indicates that the general . . .
  

   

  

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