[PDF] Top 20 Juego y enseñanza de las Matemáticas: Reflexiones teóricas para el trabajo de aula

... SAGA (Self-Adaptive Genetic Algorithm) uses population - level and individual- level adaptive parameters to self-adapt the population size and the mutation strength during[r] ... See full document

... lutionary algorithms to search this space. In particular, the use of self-adaptation, where the operator’s parameters are encoded within the individuals and subjected to evolution was established in the ... See full document

... Competitive Algorithms (ICA) named Self-Adaptive Imperialist Competitive Algorithm (SAICA) to solve the mathematical model which has never been used to solve this type of problems ...meta-heuristic ... See full document

... Genetic algorithms are adaptive algorithms proposed by John Holland in 1975 [1] and were described as adaptive heuristic search algorithms [2] based on the evolutionary ideas of ... See full document

... of adaptive biomolecular controllers able to self-tune themselves in order to guarantee the robust execution of the control task they are assigned to perform even in the presence of perturbations, ... See full document

... a Self-Adaptive Genetic Algorithm (GA) is ...objective functions, slip surface parameters are the decision variables and, the equilibrium equations are the problem ... See full document

... optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach ...objectives functions: (1) minimize transportation cost, open cost, inventory cost, ... See full document

... In general the best results are obtained with a coarse granularity; we believe that a fine granularity retards convergence by allowing only small changes in the variabl[r] ... See full document

... apriori-based algorithms start with small-sized graphs and extend them by joining ...the algorithms that use the pattern growth approach like gSpan extend a frequent graph by adding a new edge in every ... See full document

... 2.2. Parallel GAs. Parallel versions of GAs have, more often than not, different semantics from the canonical serial algorithm [6, 45]. In other words, the behavior of the algorithm in terms of the computational actions ... See full document

... For removing harmonic pollution in power systems, the active power filter (APF) is an extremely appropriate implement. APF has to take action immediately and effort with far above the ground control accuracy in existing ... See full document

... Formal and applied methods are investigated for combining feed-forward Neural Networks and Genetic Algorithms (GAs) into a single adaptive/learning system for automated time series forec[r] ... See full document

... an Adaptive Genetic Algorithm (AGA) aimed to enhance the performance of information retrieval under Vector Space Model (VSM) in both (Cosine and Dice ...fitness functions that reduce the search space ... See full document

... Despite the success of heuristic methods and other search techniques in solving real-world computational search problems, there are still some difficulties in terms of easily applying them to newly encountered problems, ... See full document

... Recently, in order to solve the problem (.), Moudafi and Thakur [] presented the following split proximal algorithm with a way of selecting the step sizes such that its im- plementation does not need any prior ... See full document

... [15] Yao, Y.H., Yao, J.C., Liou, Y.C. and Postolache, M. (2018) Iterative Algorithms for Split Common Fixed Points of Demicontractive Operators without Priori Know- ledge of Operator Norms. Carpathian Journal of ... See full document

... Already in the beginning days of symbolic computation, the choice of polynomial basis was recognized: (x − 2) 100 + 1 is a concise representation of a polynomial with 101 terms in power basis representation. The ... See full document

... The control signal computing is implemented online, that mean the optimal problem is implemented during one sample cycle of the plant. The numbers of computing are huge; therefore the requirement of computing device is ... See full document

... grouping Genetic algorithm in clustering, started with proposed encoding, and different modification of crossover and mutation operation and also initiated the local search include with the island model for ... See full document

... a self-adaptive SBX (SA-SBX) was introduced to dynamically adjust (at each generation) the distribution index of SBX in ...non self-adaptive counterpart only when α is manually “well ... See full document