Titlebook: Advances in Soft Computing; 23rd Mexican Interna Lourdes Martínez-Villase?or,Gilberto Ochoa-Ruiz Conference proceedings 2025 The Editor(s)

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書目名稱Advances in Soft Computing影響因子(影響力)




書目名稱Advances in Soft Computing影響因子(影響力)學科排名




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書目名稱Advances in Soft Computing網(wǎng)絡公開度學科排名




書目名稱Advances in Soft Computing被引頻次




書目名稱Advances in Soft Computing被引頻次學科排名




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書目名稱Advances in Soft Computing年度引用學科排名




書目名稱Advances in Soft Computing讀者反饋




書目名稱Advances in Soft Computing讀者反饋學科排名

Deceit

玉米

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Exploring Classificational Cellular Automaton Hyper-heuristics for?Solving the?Knapsack Problement structure of Cellular Automata, we introduce a hyper-heuristic model that dynamically chooses heuristics to solve a famous NP-hard problem, the Knapsack Problem, where we test our approach. We implement and compare our approach against the heuristics and some popular classifiers such as . neares

越自我

Enhancing Reptile Search Algorithm Performance for?the?Knapsack Problem with?Integration of?Chaotic SA, Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO) using the S4 transfer function with four binarization strategies: standard, standard with chaotic maps, elitist, and elitist with chaotic maps. Experimental results show that standard binarization strategies, particularly RSA?with

braggadocio

Optimal Fuzzy-Genetic Self-tuning for Tracking Photovoltaic Peak Powerg fuzzy tuning system enhanced by a genetic algorithm (GA). The method encodes essential parameters—such as scaling factors, membership function parameters, and controller policies—into bit-strings, which are processed by the GA to find near-optimal solutions. A specific fitness function is used to

PALMY

Novel Approaches to?the?Minimum Identifying Code Problem Using Enhanced Genetic Algorithmssearch (PB-LS) with a repair mechanism?into the Rank Genetic Algorithm (Rank GA), enhancing solution quality through localized adjustments. The second algorithm uses the Rank?GA with a penalty mechanism to guide the search for feasible solutions..The Rank GA’s ability to escape local optima and refi

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Enhancing User Authentication Through EEG Based P300 Speller Responselectroencephalography (EEG)?is one of the most conventional methods for acquiring visual evoked potentials that is acquired from external stimuli, such as the?P300 speller elicits the P300 potential from the presentation?of characters and symbols. By employing machine learning classifiers and P300 p