Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

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 …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

The analysis of the relationship between time and cost is a crucial aspect of construction
project management. Various optimization techniques have been developed to solve time …

Purpose Achieving project objectives in constructionprojects such as time, cost and quality is
a challenging task. Minimizing project cost often results in additional project duration and …

Determining the time and cost of activities is one of the most important stages of construction
project planning. Measures taken to shorten the time, such as the need for more or more …

Activity crashing is an efficient way for project acceleration but always leads to time–cost
trade-off issues. The current study proposes an optimal time–cost trade-off model in GERT …

Balancing time and cost has long been a primary focus of construction project management.
In this context, achieving optimal balancing time and cost objectives is crucial. The multi …

Construction projects are becoming increasingly larger and more complex in terms of size
and cost. An optimization tool is necessary for the construction management system to …

While project crashing is a prominent practice in project management and can be
approached by the well-known time–cost tradeoff problem (TCTP), the existing …