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Combining lessons from ants and birds to improve AI

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...
IEEE

Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization

Abstract: Tunicate Swarm Algorithm (TSA) is a novel swarm intelligence algorithm developed in 2020. Though it has shown superior performance in numerical benchmark function optimization and six ...
Scientific Research Publishing

Multi-Strategy-Driven Salp Swarm Algorithm for Global Optimization ()

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
IEEE

Flamingo Search Algorithm: A New Swarm Intelligence Optimization Algorithm

Abstract: This paper presents a new swarm intelligence optimization algorithm: Flamingo Search Algorithm (FSA), which is inspired by the migratory and foraging behavior of flamingos. A mathematical ...