Titlebook: Nature-Inspired Computation and Machine Learning; 13th Mexican Interna Alexander Gelbukh,Félix Castro Espinoza,Sofía N. G Conference procee

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A Multi-objective Genetic Algorithm for the Software Project Scheduling Probleming the project on time. Recent research takes into account that each employee is proficient in some development tasks only, which requiere specific skills. However, this cannot be totally applied in the Mexican context due to software companies do not categorize their employees by software skills,

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grenade

Extension of the Method of Musical Composition for the Treatment of Multi-objective Optimization Proithm, the Method of Musical Composition (MMC). The MMC uses a society of agents, called composers, who have their own creative ability, maintain a memory of their previous artwork and are also able to exchange information..According to this analogy, a decomposition approach implemented through a Tch

malign

k-Nearest-Neighbor by Differential Evolution for Time Series ForecastingNNDEF (Nearest Neighbor - Differential Evolution Forecasting) is based on knowledge shared from nearest neighbors with previous similar behaviour, which are then taken into account to forecast. NNDEF relies on the assumption that observations in the past similar to the present ones are also likely t

Perennial长期的

A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problemtes. The well-known 0-1 Multiple Knapsack Problem (MKP) is addressed to validate the performance of the method. The MKP is a NP-hard optimization problem and the aim is to maximize the total profit subjected to the total weight in each knapsack that must be less than or equal to a given limit. Resul

Nebulous

Voting Algorithms Model with a Support Sets System by Class features subsets as support to classify a new object, which is called support set system. Each support set consists of selected features that are intended to discriminate the class of each object in the learning matrix. In this paper, a new model called AlVot By Class (AlVot BC) is proposed. It is

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PLE

Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machineses in South America. 1622 classified events registered from the Llaima volcano were considered in this study, taken from 2009 to 2011. The events were divided in four classes: TREMOR (TR), LONG-PERIOD (LP), VOLCANO-TECTONICS (VT) and OTHERS (OT). All of them correspond to specific activities. TR and