The size, nature, and diversity of the initial population of population-based metaheuristic
algorithms and the number of times the algorithm iterates play a significant role in the …

A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …

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 …

The time, cost and quality are crucial, conflicting aspects to construction project
management. Tradeoff optimization among project duration (time), project cost, and the …

Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …

This study presents the mutation–crossover slime mold algorithm (MCSMA) to balance the
time, cost, quality, and work continuity in a particular construction project. The slime mold …

This study presents the Slime Mold Algorithm (SMA) to solve the time—cost—quality trade-
off problem in a construction project. The proposed SMA is a flexible and efficient algorithm …

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 …

The global construction industry plays a pivotal role, yet its unique characteristics pose
distinctive challenges. Each construction project, marked by its individuality, substantial …

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 …