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Assembly lines constitute the main production paradigm of the contemporary manufacture industry. Thus, many optimization problems have been studied aiming to improve the efficacy of its use. In this work, the Fish School Search algorithm and a variation of it that incorporates a routine to avoid stagnation of the search process were applied in order to solve the Simple Assembly Line Balancing Problem...
The Fish School Search (FSS) algorithm has a very useful engaging mechanism to avoid the simple reactive agents of being trapped into local minima. In 2014, a binary version of the FSS was proposed and applied for feature selection. In this paper we propose some improvements in the Binary Fish School Search algorithm (BFSS). We show that the BFSS with these modifications outperformed the original...
The template matching is an important technique used in pattern recognition. It aims at finding a given pattern within a frame sequence. Pearson's Correlation Coefficient (PCC) is widely used to evaluate the similarity of two images. This coefficient is computed for each image pixel, which entails a computationally very expensive process. This paper proposes an implementation of the template matching...
This paper presents the implementation of a controller based on Adaptive Task Allocation Algorithm (ATAA) for a traffic network with signalized intersections, where it is required to decrease waiting times of vehicles at every intersection. The main contributions of this work are the implementation of ATAA controller under a Model Predictive Control (MPC) scheme and the use of an estimator which does...
The influence maximization problem turns up in many online social networks (OSN) in which each participant can potentially influence the decisions made by others in the network. Relationships can be friendships, family relationships or even professional relationships. Such influences can be used to achieve some objective and the influence maximization problem attempts to make decisions so as to maximize...
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