Heuristic Algorithms for the Resource-Constrained Project Scheduling Problem: Classification and Computational Analysis

1999 ◽  
pp. 147-178 ◽  
Author(s):  
Rainer Kolisch ◽  
Sönke Hartmann
Keyword(s):  
Project Scheduling ◽  
Computational Analysis ◽  
Heuristic Algorithms ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

scholarly journals Review of conventional metaheuristic techniques for resource-constrained project scheduling problem

2022 ◽  
Vol 7 (2) ◽  
pp. 95-110 ◽  
Author(s):  
Amir Golab ◽  
Ehsan Sedgh Gooya ◽  
Ayman Al Falou ◽  
Mikael Cabon
Keyword(s):  
Genetic Algorithms ◽  
Project Scheduling ◽  
Resource Constraints ◽  
Heuristic Algorithms ◽  
Single Mode ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Heuristic Solution ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

This paper is concerned with an overview of the Resource-Constrained Project Scheduling Problem (RCPSP) and the conventional meta-heuristic solution techniques that have attracted the attention of many researchers in the field. Therefore, researchers have developed algorithms and methods to solve the problem. This paper addresses the single-mode RCPSP where the objective is to optimize and minimize the project duration while the quantities of resources are constrained during the project execution. In this problem, resource constraints and precedence relationships between activities are known to be the most important constraints for project scheduling. In this context, the standard RCPSP is presented. Then, the classifications of the collected papers according to the year of publication and the different meta-heuristic approaches applied are presented. Five weighted articles and their meta-heuristic techniques developed for RCPSP are described in detail and their results are summarized in the corresponding tables. In addition, researchers have developed various conventional meta-heuristic algorithms such as genetic algorithms, particle swarm optimization, ant colony optimization, bee colony optimization, simulated annealing, evolutionary algorithms, and so on. It is stated that genetic algorithms are more popular among researchers than other meta-heuristics. For this reason, the various conventional meta-heuristics and their corresponding articles are also presented to give an overview of the conventional meta-heuristic optimizing techniques. Finally, the challenges of the conventional meta-heuristics are explored, which may be helpful for future studies to apply new suitable techniques to solve the Resource-Constrained Project Scheduling Problem (RCPSP).

Application of Three Meta-Heuristic Algorithms for Maximizing the Net Present Value of a Resource-Constrained Project Scheduling Problem with Respect to Delay Penalties

2016 ◽  
Vol 3 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Masoud Rabbani ◽  
Azadeh Arjmand ◽  
Mohammad Mahdi Saffar ◽  
Moeen Sammak Jalali
Keyword(s):  
Project Scheduling ◽  
Large Scale ◽  
Net Present Value ◽  
Heuristic Algorithms ◽  
Optimal Solution ◽  
Cash Flows ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

The Resource Constrained Project Scheduling Problem (RCPSP) is been studied under different kinds of constraints and limitations. In this paper, we are going to consider the discounted cash flows for project activities, and delay penalties which occur when the project make span exceeds its deadline as the objective function of the RCPSP. To solve the model, we will take advantage of three different meta-heuristic algorithms - Genetic Algorithm (GA), Imperialist Competitive Algorithm (ICA), and Shuffled Frog Leaping Algorithm (SFLA) - to achieve the optimal solution of the problem. The evaluation of the algorithms performance reveals that, in comparison with ICA and SFLA, GA performs better, especially in large-scale problems.

A memetic algorithm to address the multi-node resource-constrained project scheduling problem

2021 ◽  
Author(s):  
Luis F. Machado-Domínguez ◽  
Carlos D. Paternina-Arboleda ◽  
Jorge I. Vélez ◽  
Agustin Barrios-Sarmiento
Keyword(s):  
Project Scheduling ◽  
Memetic Algorithm ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem
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