An improved hybrid multi-objective parallel genetic algorithm for hybrid flow shop scheduling with unrelated parallel machines

A fast and elitist multiobjective genetic algorithm: NSGA-II

Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation · 2002 · 47.8K citations

Natural Sciences, Evolutionary Biology, Algorithms +10

Scheduling: Theory, Algorithms, and Systems

Michael Pinedo · IIE Transactions · 1996 · 6.3K citations

Management, Computer Science, Operations Management +12

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

Architecture, Evolutionary Biology, Optimization +8

Handling multiple objectives with particle swarm optimization

Carlos A. Coello Coello, M.S. Lechuga · IEEE Transactions on Evolutionary Computation · 2004 · 4.3K citations

Natural Sciences, Aerospace Engineering, Directed Evolution +14

Scheduling flexible flow lines with sequence-dependent setup times

Mary E. Kurz, Ronald G. Askin · European Journal of Operational Research · 2003 · 248 citations · Full text

Engineering, Computer Science, Industrial Engineering +9