TY  - EJOU
AU  - Hamadneh, Tareq 
AU  - Kaabneh, Khalid 
AU  - Alssayed, Omar 
AU  - Eguchi, Kei 
AU  - Monrazeri, Zeinab 
AU  - Dehghani, Mohammad 

TI  - Far and Near Optimization: A New Simple and Effective Metaphor-Less Optimization Algorithm for Solving Engineering Applications
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2024
VL  - 141
IS  - 2
SN  - 1526-1506

AB  - In this article, a novel metaheuristic technique named Far and Near Optimization (FNO) is introduced, offering versatile applications across various scientific domains for optimization tasks. The core concept behind FNO lies in integrating global and local search methodologies to update the algorithm population within the problem-solving space based on moving each member to the farthest and nearest member to itself. The paper delineates the theory of FNO, presenting a mathematical model in two phases: (i) exploration based on the simulation of the movement of a population member towards the farthest member from itself and (ii) exploitation based on simulating the movement of a population member towards the nearest member from itself. FNO’s efficacy in tackling optimization challenges is assessed through its handling of the CEC 2017 test suite across problem dimensions of 10, 30, 50, and 100, as well as to address CEC 2020. The optimization results underscore FNO’s adeptness in exploration, exploitation, and maintaining a balance between them throughout the search process to yield viable solutions. Comparative analysis against twelve established metaheuristic algorithms reveals FNO’s superior performance. Simulation findings indicate FNO’s outperformance of competitor algorithms, securing the top rank as the most effective optimizer across a majority of benchmark functions. Moreover, the outcomes derived by employing FNO on twenty-two constrained optimization challenges from the CEC 2011 test suite, alongside four engineering design dilemmas, showcase the effectiveness of the suggested method in tackling real-world scenarios.
KW  - Optimization; stochastic method; far; near; metaheuristic algorithm; exploration; exploitation

DO  - 10.32604/cmes.2024.053236