scholarly journals Application of an improved Spider Monkey Optimization algorithm for component assignment problem in PCB assembly

Procedia CIRP ◽  
2019 ◽  
Vol 83 ◽  
pp. 266-271 ◽  
Author(s):  
Zhengya Wang ◽  
Jabir Mumtaz ◽  
Li Zhang ◽  
Lei Yue
Keyword(s):  
Optimization Algorithm ◽  
Assignment Problem ◽  
Spider Monkey ◽  
Pcb Assembly ◽  
Spider Monkey Optimization

scholarly journals Multi-Level Planning and Scheduling for Parallel PCB Assembly Lines Using Hybrid Spider Monkey Optimization Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 18685-18700 ◽  
Author(s):  
Jabir Mumtaz ◽  
Zailin Guan ◽  
Lei Yue ◽  
Zhengya Wang ◽  
Saif Ullah ◽  
...  
Keyword(s):  
Spider Monkey ◽  
Optimization Approach ◽  
Assembly Lines ◽  
Planning And Scheduling ◽  
Pcb Assembly ◽  
Multi Level ◽  
Spider Monkey Optimization

Ageist Spider Monkey Optimization algorithm

2016 ◽  
Vol 28 ◽  
pp. 58-77 ◽  
Author(s):  
Avinash Sharma ◽  
Akshay Sharma ◽  
B.K. Panigrahi ◽  
Deep Kiran ◽  
Rajesh Kumar
Keyword(s):  
Optimization Algorithm ◽  
Spider Monkey ◽  
Spider Monkey Optimization

scholarly journals Improve the local search using Automatic Modified Position in Improved Spider Monkey Optimization Algorithm

2019 ◽  
Vol 8 (6) ◽  
pp. 1634-1637
Keyword(s):  
Local Search ◽  
Swarm Intelligence ◽  
Optimization Algorithm ◽  
Research Paper ◽  
Population Based ◽  
Spider Monkey ◽  
Alternative Technique ◽  
Spider Monkey Optimization ◽  
Smo Algorithm

Spider Monkey Optimization is the new field of Swarm Intelligence. The SMO algorithms well balanced for a good exploration. Algorithm based on Spider's extraordinary behavior. Monkeys the SMO algorithm is a population-based meta-heuristic. So these articles present automatic modifying the position of the local search to improve its position. Then we say the updating algorithm called Improved Spider Monkey Optimization algorithm. Using this alternative technique we improve speed convergence. Also this algorithm tested on the problems of reference. The research paper shows proposes a productive variant of SMO that improves the Number of function. Here we have some equations to resolve these problems also we compare the result between SMO and new ISMO

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