Hepatoprotective potential of Ceiba chodatii Hassl. against carbon tetrachloride-induced chronic liver damage supported with phytochemical investigation.

Hepatic fibrosis is a major health concern that can develop into other life-threatening pathologies, with no fully effective treatments are available to date. Ceiba is a genus of multipurpose trees with diverse therapeutic applications, including liver ailments. Prior research has also unveiled the protecting role of Ceiba plants in chemical liver injuries via a number of in vitro and in vivo tests.

Recent metaheuristic algorithms for solving some civil engineering optimization problems.

In this study, a novel hybrid metaheuristic algorithm, termed (BES-GO), is proposed for solving benchmark structural design optimization problems, including welded beam design, three-bar truss system optimization, minimizing vertical deflection in an I-beam, optimizing the cost of tubular columns, and minimizing the weight of cantilever beams. The performance of the proposed BES-GO algorithm was compared with ten state-of-the-art metaheuristic algorithms: Bald Eagle Search (BES), Growth Optimizer (GO), Ant Lion Optimizer, Tuna Swarm Optimization, Tunicate Swarm Algorithm, Harris Hawk Optimization, Artificial Gorilla Troops Optimizer, Dingo Optimizer, Particle Swarm Optimization, and Grey Wolf Optimizer. The hybrid algorithm leverages the strengths of both BES and GO techniques to enhance search capabilities and convergence rates.

An efficient multi-objective parrot optimizer for global and engineering optimization problems.

The Parrot Optimizer (PO) has recently emerged as a powerful algorithm for single-objective optimization, known for its strong global search capabilities. This study extends PO into the Multi-Objective Parrot Optimizer (MOPO), tailored for multi-objective optimization (MOO) problems. MOPO integrates an outward archive to preserve Pareto optimal solutions, inspired by the search behavior of Pyrrhura Molinae parrots.