Titlebook: International Joint Conference SOCO’13-CISIS’13-ICEUTE’13; Salamanca, Spain, Se Álvaro Herrero,Bruno Baruque,Emilio Corchado Conference pro

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Empirical Study of the Sensitivity of CACLA to Sub-optimal Parameter Setting in Learning Feedback CNamely, we have tested different reward signals, different number of features to approximate value functions and policies, and different learning gains. The results show CACLA to be a very highly robust approach.

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A Multi-level Filling Heuristic for the Multi-objective Container Loading Problem,dustries. The goal of the problem is to load the items (boxes) that would provide the highest total volume and weight to the container, without exceeding the container limits. These two objectives are conflicting because the volume of a box is usually not proportional to its weight. Most of the prop

Mediocre

,Multiple Choice Strategy Based PSO Algorithm with Chaotic Decision Making – A Preliminary Study,rformance of newly proposed multiple choice strategy based PSO algorithm. This research represents a continuation of previous successful experiments with the fusion of the PSO algorithm and chaotic systems. The performance of proposed algorithm is tested on a set of four test functions. Obtained pro

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Performance of Chaos Driven Differential Evolution on Shifted Benchmark Functions Set,s aimed at the embedding of set of six discrete dissipative chaotic systems in the form of chaos pseudo random number generator for DE. Repeated simulations were performed on the set of two shifted benchmark test functions in higher dimensions. Finally, the obtained results are compared with canonic

爱得痛了

A Neural Network Model for Energy Consumption Prediction of CIESOL Bioclimatic Building,r management of the electric demand, and an optimal exploitation of renewable sources, using for that appropriate control strategies. The main objective of this paper is to develop a short term predictive model, based on neural networks, of the electricity demand for the CIESOL research center. The

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,ACO Using a MCDM Strategy for Route Finding in the City of Guadalajara, México,early at peak hours; when an event occurs or car traffic overpasses a threshold, streets reduce their fluent flow capacity, thus car drivers must seek new alternatives for their routes. In this work we propose an approach to synthesize street network characteristics and affectations on the streets (