The resource-constrained project scheduling problem is to schedule activities subject to
precedence and resource constraints such that the makespan is minimized. It has become a …

This paper studies and analyses the multi-skilled resource-constrained project scheduling
problem (MSRCPSP). We present a new classification scheme based on an existing …

Project scheduling began as a research track within the mathematical field of Operations
Research in order to determine start and finish times of project activities subject to …

In this paper we present a genetic algorithm for the multi-mode resource-constrained project
scheduling problem (MRCPSP), in which multiple execution modes are available for each of …

In this paper, a real-life project database is created, outranking the existing empirical
databases from project management literature in both size and diversity. To ensure the …

In this paper, an overview is presented of the existing metaheuristic solution procedures to
solve the multi-mode resource-constrained-project scheduling problem, in which multiple …

Abstract Support Vector Machines are methods that stem from Artificial Intelligence and
attempt to learn the relation between data inputs and one or multiple output values …

This paper addresses a multi-skilled extension of the resource-constrained project
scheduling problem (RCPSP). Although a handful of papers dealt with the multi-skilled …

Earned Value Management (EVM) is a project management technique for measuring project
progress in terms of cost, schedule and scope, and has developed into a very effective way …

In recent years, machine learning techniques, especially genetic programming (GP), have
been a powerful approach for automated design of the priority rule-heuristics for the …