FOX: a FOX-inspired optimization algorithm

Abstract

This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer (FOX) which mimics the foraging behavior of foxes in nature when hunting prey. The algorithm is based on techniques for measuring the distance between the fox and its prey to execute an efficient jump. After presenting the mathematical models and the algorithm of FOX, five classical benchmark functions and CEC2019 benchmark test functions are used to evaluate its performance. The FOX algorithm is also compared against the Dragonfly optimization Algorithm (DA), Particle Swarm Optimization (PSO), Fitness Dependent Optimizer (FDO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), Chimp Optimization Algorithm (ChOA), Butterfly Optimization Algorithm (BOA) and Genetic Algorithm (GA). The results indicate that FOX outperforms the above-mentioned algorithms. Subsequently, the Wilcoxon rank-sum test is used to ensure that FOX is better than the comparative algorithms in s statistically significant manner. Additionally, parameter sensitivity analysis is conducted to show different exploratory and exploitative behaviors in FOX. The paper also employs FOX to solve engineering problems, such as pressure vessel design, and it is also used to solve electrical power generation: economic load dispatch problems. The FOX has achieved better results in terms of optimizing the problems against GWO, PSO, WOA, and FDO.

S-shaped grey wolf optimizer-based FOX algorithm for feature selection

“…The efficacy of the FOX-GWO technique is assessed across 18 datasets in this section. Furthermore, a comparative analysis is conducted between FOX-GWO and five other binary optimization algorithms, namely Artificial Electric Field Algorithm (AEFA) [ 42 ], Grey Wolf Optimizer (GWO) [ 43 ], Particle Swarm Optimization (PSO) [ 44 ], FireFly Algorithm (FFA) [ 45 ], and FOX [ 46 ]. Table 1 shows a description of the eighteen UCI datasets utilized in the experiment.…”

An enhanced donkey and smuggler optimization algorithm for choosing the precise job applicant

“…This algorithm should also be evaluated against newer algorithms such as FOX, ANA, CDDO, etc. (Mohammed and Rashid, 2022;Hama Rashid and Rashid, 2021;Abdulhameed and Rashid, 2021).…”

Dendritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World Optimization Problems

“…The evaluation primarily relies on benchmark test functions and engineering design problems, potentially overlooking the complexities of real-world scenarios. Mohammed and Rashid 2023 [ 26 ] proposed the Fox optimizer (FOX), a novel nature-inspired algorithm mimicking fox foraging behavior. FOX efficiently measures distances to execute jumps for prey capture.…”