Problem-specific multi-objective invasive weed optimization algorithm for reconnaissance mission scheduling problem

2021 ◽  
pp. 107345
Author(s):  
Junqi Cai ◽  
Zhihong Peng ◽  
Shuxin Ding ◽  
Jingbo Sun
Keyword(s):  
Optimization Algorithm ◽  
Scheduling Problem ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Multi Objective

Invasive Weed Optimization Algorithm for Solving Permutation Flow-Shop Scheduling Problem

2013 ◽  
Vol 10 (3) ◽  
pp. 708-713 ◽  
Author(s):  
Huan Chen ◽  
Yongquan Zhou ◽  
Sucai He ◽  
Xinxin Ouyang ◽  
Peigang Guo
Keyword(s):  
Optimization Algorithm ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Scheduling Problem ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Shop Scheduling ◽  
Permutation Flow Shop Scheduling ◽  
Permutation Flow Shop

A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand

Computing ◽  
2019 ◽  
Vol 101 (6) ◽  
pp. 499-529 ◽  
Author(s):  
Alireza Goli ◽  
Erfan Babaee Tirkolaee ◽  
Behnam Malmir ◽  
Gui-Bin Bian ◽  
Arun Kumar Sangaiah
Keyword(s):  
Production Planning ◽  
Optimization Algorithm ◽  
Invasive Weed Optimization ◽  
Aggregate Production Planning ◽  
Invasive Weed ◽  
Aggregate Production ◽  
Multi Objective ◽  
Seasonal Demand

Invasive weed optimization algorithm for optimization no-idle flow shop scheduling problem

2014 ◽  
Vol 137 ◽  
pp. 285-292 ◽  
Author(s):  
Yongquan Zhou ◽  
Huan Chen ◽  
Guo Zhou
Keyword(s):  
Optimization Algorithm ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Scheduling Problem ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Shop Scheduling

An Adaptive Invasive Weed Optimization Algorithm

2015 ◽  
Vol 29 (02) ◽  
pp. 1559004 ◽  
Author(s):  
Shuo Peng ◽  
A.-J. Ouyang ◽  
Jeff Jun Zhang
Keyword(s):  
Optimization Algorithm ◽  
Initial Step ◽  
Local Extremum ◽  
Invasive Weed Optimization ◽  
Step Size ◽  
Invasive Weed ◽  
Adaptive Step Size ◽  
Initial Step Size ◽  
Adaptive Step ◽  
Optimization Search

With regards to the low search accuracy of the basic invasive weed optimization algorithm which is easy to get into local extremum, this paper proposes an adaptive invasive weed optimization (AIWO) algorithm. The algorithm sets the initial step size and the final step size as the adaptive step size to guide the global search of the algorithm, and it is applied to 20 famous benchmark functions for a test, the results of which show that the AIWO algorithm owns better global optimization search capacity, faster convergence speed and higher computation accuracy compared with other advanced algorithms.

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