Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications

Osaba, Eneko; Yang, Xin‐She

doi:10.1007/978-981-16-0662-5_5

Cited by 7 publications

(2 citation statements)

References 121 publications

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“…The players’ effort to place the game rings in the score bars has been the main idea in the design of Ring Toss Game-Based Optimization (RTGBO) [ 70 ]. Some of the other game-based algorithms are Billiard Optimization Algorithm (BOA) [ 71 ], League Championship Algorithm (LCA) [ 72 ], Tug of War Optimization (TOA) [ 73 ], Running City Game Optimizer (RCGO) [ 74 ], and Soccer League Optimization (SLO) [ 75 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience

Montazeri,

Niknam,

Aghaei

et al. 2023

Biomimetics

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In this research article, we uphold the principles of the No Free Lunch theorem and employ it as a driving force to introduce an innovative game-based metaheuristic technique named Golf Optimization Algorithm (GOA). The GOA is meticulously structured with two distinctive phases, namely, exploration and exploitation, drawing inspiration from the strategic dynamics and player conduct observed in the sport of golf. Through comprehensive assessments encompassing fifty-two objective functions and four real-world engineering applications, the efficacy of the GOA is rigorously examined. The results of the optimization process reveal GOA’s exceptional proficiency in both exploration and exploitation strategies, effectively striking a harmonious equilibrium between the two. Comparative analyses against ten competing algorithms demonstrate a clear and statistically significant superiority of the GOA across a spectrum of performance metrics. Furthermore, the successful application of the GOA to the intricate energy commitment problem, considering network resilience, underscores its prowess in addressing complex engineering challenges. For the convenience of the research community, we provide the MATLAB implementation codes for the proposed GOA methodology, ensuring accessibility and facilitating further exploration.

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Section: Literature Reviewmentioning

confidence: 99%

Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience

Montazeri,

Niknam,

Aghaei

et al. 2023

Biomimetics

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“…Human-Based Algorithms are Harmony Search (HS) [35,36], Ali Baba and the forty thieves algorithm (AFT) [37], Firework Algorithm (FWA) [38,39], Soccer-Inspired (SI) [40], among others.…”

Section: Introductionmentioning

confidence: 99%

A Bio-Inspired Method for Mathematical Optimization Inspired by Arachnida Salticidade

Peraza-Vázquez

Peña-Delgado²,

Ranjan

et al. 2021

Mathematics

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This paper proposes a new meta-heuristic called Jumping Spider Optimization Algorithm (JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the behavior of spiders in nature and mathematically models its hunting strategies: search, persecution, and jumping skills to get the prey. These strategies provide a fine balance between exploitation and exploration over the solution search space and solve global optimization problems. JSOA is tested with 20 well-known testbench mathematical problems taken from the literature. Further studies include the tuning of a Proportional-Integral-Derivative (PID) controller, the Selective harmonic elimination problem, and a few real-world single objective bound-constrained numerical optimization problems taken from CEC 2020. Additionally, the JSOA’s performance is tested against several well-known bio-inspired algorithms taken from the literature. The statistical results show that the proposed algorithm outperforms recent literature algorithms and is capable to solve challenging real-world problems with unknown search space.

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Nature-Inspired Optimization Algorithms: Past to Present

Aarif¹,

Sivakumar²,

Caffiyar³

et al. 2022

Intelligent Systems Reference Library

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Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications

Cited by 7 publications

References 121 publications

Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience

Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience

A Bio-Inspired Method for Mathematical Optimization Inspired by Arachnida Salticidade

Nature-Inspired Optimization Algorithms: Past to Present

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