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The interest in multi-modal optimization methods is increasing in the recent years since many of real-world optimization problems have multiple/many optima and decision makers prefer to find all of them. Multiple global/local peaks create difficulties for optimization algorithms. In this context, niching is well-known and widely used technique for finding multiple solutions in multi-modal optimization...
The proposed Pareto ranking scheme is meant for the selection of parents and survivors in multi-objective evolutionary optimizations. Commonly, the Pareto methods use just the dominance analysis in order to provide the partial sorting of solutions, without taking into account the specific strength of the conflict detected between objectives. This can generate undesired effects, such as the loss of...
Point sets registration, also known as point matching, is to find the one-to-one correspondence between two point sets as well as the related transformation. In comparison with most state-of-the-arts handling the rigid transformation between two point sets, in this paper, we focus on the more complex non-rigid transformation by considering it as a linear assignment-least square problem. We design...
The continuous changes in electricity markets' mechanisms and operations turn this environment into a challenging domain for the participating entities. Simulation tools are increasingly being used for decision support purposes of such entities. In particular, multi-agent based simulation, which facilitates the modeling of different types of mechanisms and players, is being fruitfully applied to the...
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