The resource-constrained project scheduling problem (RCPSP) aims to schedule a set of
activities subject to resource and precedence constraints to minimize the project makespan …

Multi-skill resource-constrained project scheduling problem (MS-RCPSP) is one of the most
investigated problems in operations research and management science. In this paper, a …

In this paper, an efficient decomposition-based multi-objective genetic programming hyper-
heuristic (MOGP-HH/D) approach is proposed for the multi-skill resource constrained project …

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 …

Priority rules combined with schedule generation schemes are a usual approach to online
scheduling. These rules are commonly designed by experts on the problem domain …

Priority rules are one of the most common and popular approaches to real-time scheduling.
Over the last decades, several methods have been developed to generate rules …

Resource constrained project scheduling problem is an NP-hard problem that attracts many
researchers because of its complexity and daily use. In literature there are a lot of various …

Abstract The Resource Constrained Project Scheduling problem (RCPSP) is a complex and
combinatorial optimization problem mostly relates with project management, construction …

In resource-constrained project scheduling, project milestones, rental equipment, contracted
labor, and product development checkpoints all conceptually impose shared due dates …

Surrogate evaluation is a useful, if not the unique, technique in population-based
evolutionary algorithms where exact fitness calculation is too expensive. This situation …