A novel quasi-oppositional chaotic student psychology-based optimization algorithm for deciphering global complex optimization problems

A novel multi-strategy ameliorated quasi-oppositional chaotic tunicate swarm algorithm for global optimization and constrained engineering applications

“…In 2023, Zhang et al [60] proposed a chaotic SSA with DE (CDESSA) to enhance the performance of SSA by chaotic initialization and DE approach. In the same year, Balu et al [61] suggested an enhanced SPBO (QOCSPBO) by incorporating opposite points and a logistic chaotic map to address deciphering complex and global optimization problems. Furthermore, Gharehchopogh et al [62] suggested an enhanced FFA (CQFFA) by employing twelve distinct chaotic maps and quasi-oppositional points to solve engineering applications.…”