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Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons., and . IEEE Trans. Evolutionary Computation, 4 (2): 93-113 (2000)Evolving Scheduling Policies through a Genetic Programming Framework., and . GECCO, page 1231. Morgan Kaufmann, (1999)Genetic programming for manufacturing optimisation.. University of Sheffield, UK, (2000)British Library, EThOS.Interdisciplinary design of scheduling decision support systems in small-sized SME environments: The i-DESME framework., , , , and . Journal of Decision Systems, 24 (3): 227-254 (2015)Comparison of the effectiveness of Logisim software tool and remote experiments based on Nexys 2 FPGA platform in learning digital circuits design., , , , , , and . exp.at, page 247-252. IEEE, (2017)Optimisation of Preparedness and Response of Health Services in Major Crises Using the IMPRESS Platform., , , , , , , , , and 11 other author(s). WCO@FedCSIS, volume 795 of Studies in Computational Intelligence, page 15-34. Springer, (2017)Augmented reality in laboratory-based education: Could it change the way students decide about their future studies?, , , and . EDUCON, page 1473-1476. IEEE, (2017)A review of evolutionary multiobjective optimization applications in the area of production research.. IEEE Congress on Evolutionary Computation, page 1487-1494. IEEE, (2004)Designing Interdisciplinary Scheduling Decision Support Systems in Small-Sized SME Environments: The i-DESME Framework., and . APMS (1), volume 438 of IFIP Advances in Information and Communication Technology, page 355-362. Springer, (2014)