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—There is an abundance of business process modeling techniques that capture and address different aspects of a business process. A limited number of these process models allow further quantitative analysis, and only a few enable structured process improvement. This paper reviews and classifies the main techniques for business process modeling with regard to(More)
A business incurs much higher charges when attempting to win new customers than to retain existing ones. As a result, much research has been invested into new ways of identifying those customers who have a high risk of churning. However customer retention efforts have also been costing organisations large amounts of resource. In response to these issues,(More)
Traditional methods often employed to solve complex real world problems tend to inhibit elaborate exploration of the search space. They can be expensive and often results in sub-optimal solutions. Evolutionary computation (EC) is generating considerable interest for solving real world engineering problems. They are proving robust in delivering global(More)
—The difficulties faced by existing Multi-objective Evolutionary Algorithms (MOEAs) in handling many-objective problems relate to the inefficiency of selection operators, high computational cost and difficulty in visualization of objective space. While many approaches aim to counter these difficulties by increasing the fidelity of the standard selection(More)
Test problems have played a fundamental role in understanding the strengths and weaknesses of the existing Evolutionary Multi-objective Optimization (EMO) algorithms. A range of test problems exist which have enabled the research community to understand how the performance of EMO algorithms is affected by the geometrical shape of the Pareto front (PF),(More)
—This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework with this aim. Within this framework, different design criteria are viewed as optimization objectives, and design solutions are iteratively improved through the cooperative efforts(More)