In this research, we employ the traditional optimization method [Quasi newton method (BFGS)] alongside meta heuristic algorithms to estimate parameters of truncated Poisson regression model in three ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a ...

Abstract: Path planning in three-dimensional space is an important field of machine learning algorithm research. At present, there are many path planning algorithms, such as heuristic search algorithm ...

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In recent years, due to rapid fossil fuel depletion (Peng et al., 2020), booming global energy demand (Shangguan et al., 2020a), and a series of severe eco-environmental problems (Yang et al., 2015), ...