Seyedali Mirjalili
4 papers in the PaperMetrix corpus
Papers by this author
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Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm
2016 · International Journal of Artificial Intelligence Tools
Evolutionary Neural Networks are proven to be beneficial in solving challenging datasets mainly due to the high local optima avoidance. Stochastic operators in such techniques reduce the probability of stagnation in local solutions and assist …
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Advanced Ensemble Model for Solar Radiation Forecasting Using Sine Cosine Algorithm and Newton’s Laws
2021 · IEEE Access
As research in alternate energy sources is growing, solar radiation is catching the eyes of the research community immensely. Since solar energy generation depends on uncontrollable natural variables, without proper forecasting, this energy source cannot …
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Migration-Based Moth-Flame Optimization Algorithm
2021 · Processes
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO cannot provide competitive results for complex optimization problems. The algorithm sinks into the local optimum …
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Divine Religions Algorithm: a novel social-inspired metaheuristic algorithm for engineering and continuous optimization problems
2025 · Cluster Computing
Abstract Classical optimization methods struggle with complex, NP-hard real-world problems. To overcome these challenges, researchers have explored approximate methods inspired by natural behavioral patterns. One prominent branch of these metaheuristic methods draws from human behaviors …