This paper proposes the Love Evolution Algorithm (LEA), a novel evolutionary algorithm
inspired by the stimulus–value–role theory. The optimization process of the LEA includes …

According to the different generation methods, the types of candidate position (basis vector)
in the meta-heuristic algorithm can be divided into stochastic, deterministic, and …

The butterfly optimization algorithm (BOA) is a meta-heuristic algorithm that mimics foraging
and mating behavior of butterflies. In order to alleviate the problems of slow convergence …

In the realm of computational problem-solving, the search for efficient algorithms tailored for
real-world engineering challenges and software requirement prioritization is relentless. This …

Wind driven optimization (WDO) is a meta-heuristic algorithm based on swarm intelligence.
The original selection method makes it easy to converge prematurely and trap in local …

In this paper, an improved sparrow search algorithm (SSA) for local path planning problem
of mobile robot in an unknown environment is presented. The problems of premature …

In this article, an improved slime mould algorithm (SMA-CSA) is proposed for solving global
optimization and the capacitated vehicle routing problem (CVRP). This improvement is …

Electric vehicle charging stations (EVCSs) and renewable energy sources (RESs) have
been widely integrated into distribution systems. Electric vehicles (EVs) offer advantages for …

This study proposes a novel artificial protozoa optimizer (APO) that is inspired by protozoa in
nature. The APO mimics the survival mechanisms of protozoa by simulating their foraging …

SOS is a global optimization algorithm, based on nature, and is utilized to execute the
various complex hard optimization problems. Be that as it may, some basic highlights of …