Smart farming with artificial intelligence provides an efficient solution to today's agricultural
sustainability challenges. Machine learning, Deep learning, and time series analysis are …

Motivated by the hunting strategies of cheetahs, this paper proposes a nature-inspired
algorithm called the cheetah optimizer (CO). Cheetahs generally utilize three main …

This paper presents a new evolutionary-based approach called a Subtraction-Average-
Based Optimizer (SABO) for solving optimization problems. The fundamental inspiration of …

A new metaheuristic algorithm called green anaconda optimization (GAO) which imitates the
natural behavior of green anacondas has been designed. The fundamental inspiration for …

In this paper, a new bio-inspired metaheuristic algorithm named the Kookaburra
Optimization Algorithm (KOA) is introduced, which imitates the natural behavior of …

This article introduces a new metaheuristic algorithm called the Serval Optimization
Algorithm (SOA), which imitates the natural behavior of serval in nature. The fundamental …

In this paper, a new bio-inspired metaheuristic algorithm called the Lyrebird Optimization
Algorithm (LOA) that imitates the natural behavior of lyrebirds in the wild is introduced. The …

This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA)
with an alpha-directed Learning Strategy (LS) for dealing with different mathematical …

Supply Chain (SC) Optimization is a key activity in today's industry with the goal of
increasing operational efficiency, reducing costs, and improving customer satisfaction …

Tree–seed algorithm is a stochastic search algorithm with superior performance suitable for
solving continuous optimization problems. However, it is also prone to fall into local optimum …