返回
An efficient hybrid swarm intelligence optimization algorithm for solving nonlinear systems and clustering problems
DOI:10.1007/s00500-022-07780-8.png)
摘要
En 中文
This article proposes a new hybrid swarm intelligence optimization algorithm called monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named MBOCS, for optimization problems. MBO algorithm is known for its disability to discover feasible solutions over different runs because it may trap in the local minima. Also, CS is a recent powerful algorithm, while it may consume a large number of function evaluations to get the optimal solution, and this is one of the disadvantages of this algorithm. MBOCS can circumvent the disadvantages of MBO and CS algorithms. In this work, we integrate MBO with CS to improve the quality of solutions to solve various optimization problems, namely unconstraint benchmark functions, nonlinear systems and clustering problems. We solve fifteen of CEC'15 benchmark functions and compare our results with various algorithms such as group search algorithm, harmony search, particle swarm optimization and other hybrid algorithms in the literature. Moreover, we apply MBOCS on ten known nonlinear systems and eight real-world data from UCI. The results of MBOCS were compared with other known algorithms in the literature. The experimental results show that the proposed hybrid algorithm is a competitive and promising method for solving such optimization problems and outperforms other compared algorithms.
Keyword:
Hybrid meta-heuristic
Cuckoo search
Monarch butterfly optimization
Nonlinear system of equations
Clustering problem
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
引用论文
Kinematic and kinetic differences in the execution of vertical jumps between people with good and poor ankle joint dorsiflexion踝关节背屈良好和不良的人在执行垂直跳跃时的运动学和动力学差异
Incidence rate of atrial fibrillation after dialysis initiation and its relationship with cardiovascular events透析启动后房颤的发生率及其与心血管事件的关系
Effects of a hemagglutinin D222G substitution on the pathogenicity of 2009 influenza A (H1N1) virus in miceD222G血凝素替代对2009年甲型H1N1流感病毒在小鼠致病性的影响
Effect of the orientation of graphene-based nanoplatelets upon the Young's modulus of nanocomposites

