Convergence models of GA selection schemes, IC. on Parallel Problem Solving from Nature, pp.119-129, 1994. ,
Adaptation in Natural and Artificial Systems, 1975. ,
, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 1995.
A comparative analysis of selection schemes used in genetic algorithms, Foundations of genetic algorithms, vol.1, pp.69-93, 1991. ,
An introduction to genetic algorithms, 1998. ,
Toward Multi Criteria Optimization of Business Processes Design, International Conference on Model and Data Engineering-MEDI 2016, pp.98-107, 2016. ,
The Methodology for Business Process Optimized Design, IECON Proceedings (Industrial Electronics Conference, vol.2, pp.1819-1824, 2003. ,
Algorithmical approaches to business process design, Computers & Operations Research, vol.28, issue.13, pp.1253-1275, 2001. ,
Optimisation Of Business Process Designs: An Algorithmic Approach With Multiple Objectives, International Journal of Production Economics, vol.109, issue.1, pp.105-121, 2007. ,
An Evolutionary Multi-Objective Framework For Business Process Optimisation, Applied Soft Comp, vol.12, issue.8, pp.2638-2653, 2012. ,
An Automated Optimisation Framework For The Development Of Re-Configurable Business Processes: A Web Services Approach, Int J Comp Integ M, vol.28, issue.1, pp.41-58, 2015. ,
Evolutionary MultiObjective Optimization of business process designs with pre-processing, Evolutionary Computation (CEC, pp.897-904, 2017. ,
Dynamic Programming and Genetic Algorithm for Business Processes Optimisation, Intern. Journal of Intelligent Systems and Applications, vol.5, issue.1, p.44, 2012. ,
Customizing NSGAII to Optimize Business Processes Designs, Research Journal of Recent Sciences, vol.2, pp.74-79, 2013. ,
A similarity-based mating scheme for evolutionary multi objective optimization, Genetic and Evolutionary Computation Conference, pp.1065-1076, 2003. ,
An EMO algorithm using the hyper volume measure as selection criterion, International Conference on Evolutionary MultiCriterion Optimization, pp.62-76, 2005. ,
Modified NSGA-II for day-ahead multi-objective thermal generation scheduling, IPEC, 2010, pp.752-757, 2010. ,
Boosting indicator-based selection operators for evolutionary multi objective optimization algorithms, 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp.276-281, 2011. ,
An Improved Non dominated Sorting Multi objective Genetic Algorithm and Its Application, 2015. ,
An Evolutionary Algorithm Based Approach for Business Process Multi-Criteria Optimization, International Journal of Organizational and Collective Intelligence (IJOCI), vol.7, issue.2, pp.34-53, 2017. ,
A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II, IC on Parallel Problem Solving From Nature, pp.849-858, 2000. ,
Efficiency of truncation selection, Proceedings of the National Academy of Sciences, vol.76, issue.1, pp.396-399, 1979. ,
Gene pool recombination in genetic algorithms, Meta-Heuristics, pp.53-62, 1996. ,
Genetic diversity of dog breeds: within-breed diversity comparing genealogical and molecular data, Animal Genetics, vol.40, issue.3, pp.323-332, 2009. ,
Identification of genotypes of coconut palms suitable for breeding, Experimental Agriculture, vol.3, issue.03, pp.205-210, 1967. ,
Predictions of genetic gain from various selection methods in open pollinated Pinus banksiana progeny trials, Silvae genetica, vol.39, issue.3-4, pp.140-153, 1990. ,
Genetic analysis of local Vietnamese chickens provides evidence of gene flow from wild to domestic populations, BMC genetics, vol.10, issue.1, p.1, 2009. ,
An Approach to Addressing a Business Process Multi-Objective Optimization Issue with MA-NSGAII, EDiS'2017, pp.17-18, 2017. ,
Business Process Intelligence, Computers in Industry, vol.53, pp.321-343, 2004. ,
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