Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

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Multiobjective Evolutionary Algorithm, Engineering, Intelligent Optimization +14

Multiobjective evolutionary algorithms: A survey of the state of the art

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Artificial Intelligence, Engineering, Data Mining +12

The distributed permutation flowshop scheduling problem

Bahman Naderi, Rubén Ruíz · Computers & Operations Research · 2009 · 549 citations

Engineering, Scheduling Problem, Scheduling (Production Processes) +6

Iterated Greedy methods for the distributed permutation flowshop scheduling problem

Rubén Ruíz, Quan-Ke Pan, Bahman Naderi · Omega · 2018 · 402 citations · Full text

Mathematical Programming, Engineering, Scheduling Problem +11

Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption

Rui Zhang, Raymond Chiong · Journal of Cleaner Production · 2015 · 334 citations

Engineering, Industrial Engineering, Energy Efficiency +11