Squid Game Optimizer (SGO): a novel metaheuristic algorithm.

ABSTRACT: In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic algorithm inspired by the primary rules of a traditional Korean game. Squid game is a multiplayer game with two primary objectives: attackers aim to complete their goal while teams try to eliminate each other, and it is usually played on large, open fields with no set guidelines for size and dimensions. The playfield for this game is often shaped like a squid and, according to historical context, appears to be around half the size of a standard basketball court. The mathematical model of this algorithm is developed based on a population of solution candidates with a random initialization process in the first stage. The solution candidates are divided into two groups of offensive and defensive players while the o

SUBMITTER: Azizi M 

PROVIDER: S-EPMC10066950 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature