NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems

A fast and elitist multiobjective genetic algorithm: NSGA-II

Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation · 2002 · 46.1K citations

Artificial Intelligence, Population Size, Computational Science +15

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

Qingfu Zhang, Hui Li · IEEE Transactions on Evolutionary Computation · 2007 · 9.2K citations

Multiobjective Evolutionary Algorithm, Engineering, Intelligent Optimization +14

SPEA2: Improving the strength pareto evolutionary algorithm

Eckart Zitzler, Marco Laumanns, Lothar Thiele · Repository for Publications and Research Data (ETH Zurich) · 2001 · 5K citations · Full text

Artificial Intelligence, Engineering, Evolutionary Algorithms +5

A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem

Muhammad Nawaz, E. Emory Enscore, Inyong Ham · Omega · 1983 · 2.5K citations

Job Scheduler, Engineering, Heuristic Algorithm +13

Benchmarks for basic scheduling problems

Éric D. Taillard · European Journal of Operational Research · 1993 · 2.4K citations

Mathematical Programming, Engineering, Scheduling Analysis +8