Combinatorial versus Priority Based Optimization in Resource Constrained Project Scheduling Problems by Nature Inspired Metaheuristics

Combinatorial versus Priority Based Optimization in Resource Constrained Project Scheduling Problems by Nature Inspired Metaheuristics

This paper explores the behavior of the Flower Pollination Algorithm (FPA) and Particle Swarm Optimization (PSO) metaheuristic algorithm in resolving Resource Constrained Project Scheduling Problems (RCPSP) that can model certain practical issues in distributed applications. A RCPSP type problem h...

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Bibliographic Details
Main Authors: BEJINARIU, S.-I., COSTIN, H., COSTIN, D.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2019-02-01
Series:Advances in Electrical and Computer Engineering
Subjects:
biological information theory
evolutionary computation
optimization
particle swarm optimization
scheduling algorithms
Online Access:http://dx.doi.org/10.4316/AECE.2019.01003

Internet

http://dx.doi.org/10.4316/AECE.2019.01003

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