专题:Advanced Optimization Algorithms Research

This cluster of papers covers advances in numerical optimization techniques, including topics such as benchmarking optimization software, semidefinite programming, global optimization, derivative-free optimization, and the application of sum of squares techniques. It also explores interior-point methods, quadratic programming, and mixed-integer nonlinear programs.
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Dung beetle optimizer: a new meta-heuristic algorithm for global optimization

article Full Text OpenAlex 1702 FWCI103.9501

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

article Full Text OpenAlex 908 FWCI60.5706

Golden jackal optimization: A novel nature-inspired optimizer for engineering applications

article Full Text OpenAlex 894 FWCI60.6588

INFO: An efficient optimization algorithm based on weighted mean of vectors

article Full Text OpenAlex 825 FWCI56.503

Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems

article Full Text OpenAlex 764 FWCI50.7684

White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems

article Full Text OpenAlex 748 FWCI51.8947

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

article Full Text OpenAlex 726 FWCI106.3073

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

article Full Text OpenAlex 694 FWCI60.2831

An Introduction to Optimization on Smooth Manifolds

book Full Text OpenAlex 622 FWCI38.069

Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion

article Full Text OpenAlex 606 FWCI52.6283