in this paper, a new approach based on game theory has been proposed to multi responses problem optimization. game theory is a useful tool for decision making in the conflict of interests between intelligent players in order to select the best joint strategy for them through selecting the best joint desirability. present research uses the game theory approach via definition of each response as ...

Abstract Aiming at the problems of low detection accuracy and blurred object edges in current salient based on background algorithms, a new algorithm boundary prior to estimate is proposed. Firstly, super-pixel image segmentation (SLIC) used segment into super-pixels. According theory that foreground are relative, estimated by using four-edges image; At same time, an optimal fusion proposed fus...

In real-world multiobjective optimisation, where problem complexity is typically high, systems are increasingly reliant on distributed computation to reduce processing times. While a number of successful distributed techniques have been proposed, they are dependent on high degrees of commonality between communicating processes – requiring homogeneity with respect to platform, environment or imp...

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The most recent approaches of multi-objective optimization constitute application of meta-heuristic algorithms for which, parameter tuning is still a challenge. The present work hybridizes swarm intelligence with fuzzy operators to extend crisp values of the main control parameters into especial fuzzy sets that are constructed based on a number of prescribed facts. Such parameter-less particle ...

1/12  Abstract— This paper presents a new method, based on a multi-agent system and on a digital mock-up technology, to assess an efficient path planner for a manikin or a robot for access and visibility task taking into account ergonomic constraints or joint and mechanical limits. In order to solve this problem, the human operator is integrated in the process optimization to contribute to a g...