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Genetic algorithms for the scheduling problem with arbitrary precedence relations and skilled operators.

, , , and . Integr. Comput. Aided Eng., 23 (3): 269-285 (2016)

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Partially Informed Depth-First Search for the Job Shop Problem., , and . ICAPS, page 113-120. AAAI, (2010)Solving problems with natural computing., and . Nat. Comput., 11 (1): 129-130 (2012)Lateness minimization with Tabu search for job shop scheduling problem with sequence dependent setup times., , , and . J. Intell. Manuf., 24 (4): 741-754 (2013)Scatter search with path relinking for the job shop with time lags and setup times., , , and . Comput. Oper. Res., (2015)Self-adaptive SVDD integrated with AP clustering for one-class classification., , , , , and . Pattern Recognit. Lett., (2016)Quantum circuit compilation by genetic algorithm for quantum approximate optimization algorithm applied to MaxCut problem., , , , and . Swarm Evol. Comput., (2022)A knowledge-based evolutionary strategy for scheduling problems with bottlenecks., , , and . Eur. J. Oper. Res., 145 (1): 57-71 (2003)Bio-inspired population-based meta-heuristics for problem solving., and . Nat. Comput., 16 (2): 187-188 (2017)Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling., , , and . Nat. Comput., 21 (4): 553-563 (2022)Optimally Scheduling a Job-Shop with Operators and Total Flow Time Minimization., , and . CAEPIA, volume 7023 of Lecture Notes in Computer Science, page 193-202. Springer, (2011)