Multi-project management and uncertain environment are very common factors, and they
bring greater challenges to scheduling due to the increase of problem complexity and …

Most of the real-life project scheduling cases may involve different types of uncertainties
simultaneously such as randomness, fuzziness and dynamism. Based on this motivation, the …

Purpose This paper presents a novel multi-objective optimization model aimed at enhancing
the success rate of resource planning (RP) implementation. The model optimization is …

Scheduling under nonrenewable resources is one of the challenging issues in project
scheduling problems. There are many cases where the projects are subject to some …

This paper is concerned with an overview of the Resource-Constrained Project Scheduling
Problem (RCPSP) and the conventional meta-heuristic solution techniques that have …

This study proposes a novel hyper-heuristic based two-stage genetic programming
framework (HH-TGP) to solve the Stochastic Resource Constrained Multi-Project Scheduling …

Subcontracting is known as a global concern in construction industry. Appropriate selection
of sub-contractors (SCs) significantly affects scheduling. However, review of the recent …

In fuzzy mathematical programming literature, most of the transformation approaches were
mainly focused on integer linear programs (ILPs) with fuzzy parameters/variables. However …

This paper proposes a credibility based chance constrained programming approach for
project scheduling problems with fuzzy activity durations where the objective is to minimize …

In this paper, a resource flow-based branch-and-bound procedure is designed to solve the
well-known resource-constrained project scheduling problem under the mixed uncertainty of …