In this study a real case multi-objective material and supplier selection problem in cardboard box production industries is studied. This problem for the first time optimizes the objective functions ...
A collaborative research team from Beijing Normal University and the University of Regina has introduced a new approach to sustainable development in arid river basins through a Grey Fractional ...
Abstract: The multi-objective dynamic flexible job shop scheduling (MO-DFJSS) problem is crucial in modern manufacturing, impacting productivity and operational costs. Genetic Programming (GP) has ...
The biodiversity and climate change crises have led countries—including Canada—to commit to protect more land and inland waters and to stabilize greenhouse gas concentrations. Canada is also obligated ...
Abstract: This paper presents a study on the optimization of multi-objective programming models using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Initially, a linear programming model is ...
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