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Many-Objective Integrated Process Planning and Scheduling: A New Mixed-Integer Linear Programming Model and Genetic Algorithm

https://doi.org/10.2139/ssrn.4680116
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Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time
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Integration of process planning and scheduling—A modified genetic algorithm-based approach
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Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
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A Novel MILP Model Based on the Topology of a Network Graph for Process Planning in an Intelligent Manufacturing System
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Integration of scheduling with computer aided process planning
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Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts
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Integrated process planning and scheduling – multi-agent system with two-stage ant colony optimisation algorithm
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A simulated annealing-based optimization approach for integrated process planning and scheduling
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Integrated multi-objective process planning and flexible job shop scheduling considering precedence constraints
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Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
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A fast and elitist multiobjective genetic algorithm: NSGA-II
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EliteNSGA-III: An improved evolutionary many-objective optimization algorithm
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A Hybrid Colonial Competitive Algorithm for the Integrated Process Planning and Scheduling Problem
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A Pareto-Based Estimation of Distribution Algorithm for Solving Multiobjective Distributed No-Wait Flow-Shop Scheduling Problem With Sequence-Dependent Setup Time
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A Genetic Programming-Based Iterative Approach for the Integrated Process Planning and Scheduling Problem
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A Modified Genetic Algorithm With New Encoding and Decoding Methods for Integrated Process Planning and Scheduling Problem
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Performance assessment of multiobjective optimizers: an analysis and review
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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
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A fuzzy definition of "optimality" for many-criteria optimization problems
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Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems
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Realizing Energy Savings in Integrated Process Planning and Scheduling
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