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Titlebook: Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO; Emilio Corchado,Paulo Novais,Javier

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Multi-criteria Manipulator Trajectory Optimization Based on Evolutionary Algorithms-II and maximin sorting schemes, considers manipulators of two, three and four rotational axis (2., 3., 4.). The efficiency of the algorithm is evaluated, namely the extension of the front and the dispersion along the front. The effectiveness and capacity of the proposed approach are shown through simulations tests.
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A Parallel Cooperative Evolutionary Strategy for Solving the Reporting Cells Problemg its cost. Due to the large amount of solutions that we can find, this problem is suitable for being solved with evolutionary strategies. Our work consists in the implementation of some evolutionary algorithms that obtain very good results working in a parallel way on a cluster.
发表于 2025-3-24 01:07:53 | 显示全部楼层
Optimization of Parallel Manipulators Using Evolutionary Algorithmss defined as the measure of dexterity and solutions that minimize this criterion are found through a genetic algorithm formulation. Subsequently a neuro-genetic formulation is developed and tested. It is shown that the neuro-genetic algorithm can find close to optimal solutions for maximum dexterity, significantly reducing the computational load.
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A Decision Support System for Logistics Operationsnary Computation to plan optimal routes from the learning areas and evaluate those routes. The application allows the users to decide under what parameters (i.e. distance, time, etc) the route should be optimized.
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Greenhouse Heat Load Prediction Using a Support Vector Regression Modeltreme importance. In this paper, the solar radiation is represented as a time-series and a support vector regression model is used to make long term predictions. Results are compared with the ones achieved by using other type of models, both linear and non-linear.
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A Scatter Search Based Approach to Solve the Reporting Cells Problem through other algorithms from our previous work and by other authors. The experimental results prove that this SS based approach outperforms the results obtained by other approaches presented in the literature, which is very encouraging.
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