Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …

This paper proposes a novel population-based optimization algorithm called Sine Cosine
Algorithm (SCA) for solving optimization problems. The SCA creates multiple initial random …

This study attempts to establish a novel statistical and ANN-based decision-making
mechanism for appraising hybrid system optimization strategies. An operational strategy and …

This study addresses the problem of power outages in distant districts by taking advantage
of the available renewable energy resources in the surrounding environment. This was done …

Nowadays, the use of metaheuristic algorithms has dramatically increased in order to
achieve the optimal solution in solving continuous optimization problems. In this paper, a …

In this paper, a new kind of swarm-based metaheuristic search method, called Elephant
Herding Optimization (EHO), is proposed for solving optimization tasks. The EHO method is …

In nature, the eastern North American monarch population is known for its southward
migration during the late summer/autumn from the northern USA and southern Canada to …