A New Approach to Solve the Software Project Scheduling Problem Based on Max–Min Ant System

2014 ◽  
pp. 41-51
Author(s):  
Broderick Crawford ◽  
Ricardo Soto ◽  
Franklin Johnson ◽  
Eric Monfroy ◽  
Fernando Paredes
Keyword(s):  
Project Scheduling ◽  
Software Project ◽  
Scheduling Problem ◽  
Ant System ◽  
New Approach ◽  
Project Scheduling Problem

A Max–Min Ant System algorithm to solve the Software Project Scheduling Problem

2014 ◽  
Vol 41 (15) ◽  
pp. 6634-6645 ◽  
Author(s):  
Broderick Crawford ◽  
Ricardo Soto ◽  
Franklin Johnson ◽  
Eric Monfroy ◽  
Fernando Paredes
Keyword(s):  
Project Scheduling ◽  
Software Project ◽  
Scheduling Problem ◽  
Ant System ◽  
Project Scheduling Problem ◽  
Ant System Algorithm

Max-Min Ant System to solve the software project scheduling problem

2014 ◽  
Author(s):  
Broderick Crawford ◽  
Ricardo Soto ◽  
Franklin Johnson ◽  
Fernando Paredes ◽  
Miguel Olivares Suarez
Keyword(s):  
Project Scheduling ◽  
Software Project ◽  
Scheduling Problem ◽  
Ant System ◽  
Project Scheduling Problem

A survey on the Software Project Scheduling Problem

2018 ◽  
Vol 202 ◽  
pp. 145-161 ◽  
Author(s):  
Miguel Ángel Vega-Velázquez ◽  
Abel García-Nájera ◽  
Humberto Cervantes
Keyword(s):  
Project Scheduling ◽  
Software Project ◽  
Scheduling Problem ◽  
Project Scheduling Problem

scholarly journals An Improved Differential Evolution Solution for Software Project Scheduling Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
A. C. Biju ◽  
T. Aruldoss Albert Victoire ◽  
Kumaresan Mohanasundaram
Keyword(s):  
Differential Evolution ◽  
Project Scheduling ◽  
Optimization Technique ◽  
Solution Procedure ◽  
Solution Technique ◽  
Software Project ◽  
Scheduling Problem ◽  
Np Hard Problem ◽  
Random Instances ◽  
Project Scheduling Problem

This paper proposes a differential evolution (DE) method for the software project scheduling problem (SPSP). The interest on finding a more efficient solution technique for SPSP is always a topic of interest due to the fact of ever growing challenges faced by the software industry. The curse of dimensionality is introduced in the scheduling problem by ever increasing software assignments and the number of staff who handles it. Thus the SPSP is a class of NP-hard problem, which requires a rigorous solution procedure which guarantees a reasonably better solution. Differential evolution is a direct search stochastic optimization technique that is fairly fast and reasonably robust. It is also capable of handling nondifferentiable, nonlinear, and multimodal objective functions like SPSP. This paper proposes a refined DE where a new mutation mechanism is introduced. The superiority of the proposed method is experimented and demonstrated by solving the SPSP on 50 random instances and the results are compared with some of the techniques in the literature.

scholarly journals Solving software project scheduling problem using grey wolf optimization

2021 ◽  
Vol 19 (6) ◽  
pp. 1820
Author(s):  
Marrwa Abd-AlKareem Alabajee ◽  
Dena Rafaa Ahmed ◽  
Taghreed Riyadh Alreffaee
Keyword(s):  
Project Scheduling ◽  
Software Project ◽  
Scheduling Problem ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Project Scheduling Problem
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