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Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Ben Niu Conference proceedings 2017 Springer International Pu

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Silvia Zorzetto,Francesco Ferrarorn and risk. We address the portfolio optimization problem with real-world constraints, where traditional optimization methods fail to efficiently find an optimal or near-optional solution. Hence, we design a modified cuckoo search (MCS) metaheuristic for finding good sub-optimal portfolios. Cuckoo
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Dina Mendonça,Florian Franken Figueiredo the computational ceiling when a large-scale network is dealt. The nature-inspired metaheuristic algorithm is a potential solver for optimizing a target function. Its parallel-computing architecture improves the computing efficiency for analyzing the large-scale network. This study proposes a novel
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Conceptions of Giftedness and Talent an event, to understand how emotions affect subsequent product recommendations, in this study, we use the microblogging platform “Plurk” in conjunction with a Chinese emotional lexicon developed previously. More specifically, we identify emotional keywords as a basis for distinguishing user sentime
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Conception of Justice: Pre-Axial India,the force field generated by each individual in a swarm is not exerting forces on the neighboring individuals but is being moved by the existence of the neighbors. Secondly, each individual is no longer considered as a particle but as a rigid-body with the ability to rotate with its force field. Thi
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