Surrogate-Assisted Multiobjective Evolutionary Algorithm for Fuzzy Job Shop Problems

Juan José Palacios; Jorge Puente; Camino R. Vela; Inés González-Rodríguez; El‐Ghazali Talbi

doi:10.1007/978-3-319-58253-5_24

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Surrogate-Assisted Multiobjective Evolutionary Algorithm for Fuzzy Job Shop Problems

Juan José Palacios Jorge Puente Camino R. Vela Inés González-Rodríguez El‐Ghazali Talbi

Year: 2017 Operations research, computer science. Interface series Pages: 415-428 Publisher: Springer Nature

DOI: 10.1007/978-3-319-58253-5_24

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Keywords:

Job shop scheduling Robustness (evolution) Fuzzy logic Mathematical optimization Schedule Evolutionary algorithm Fuzzy number Computer science Multi-objective optimization Scheduling (production processes) Fuzzy set Mathematics Artificial intelligence Biology

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Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Optimization and Mathematical Programming

Physical Sciences → Engineering → Control and Systems Engineering

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Surrogate-Assisted Multiobjective Evolutionary Algorithm for Fuzzy Job Shop Problems

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