In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains uch as distributed sensor networks, disaster rescue, hospital scheduling and others. Despite the variety of approaches proposed for distributed resource allocation, a systematic formalization of the problem, explaining the different sources of difficul...

Simultaneous optimization of time, cost, and utilized resources in a construction project is vital. This paper presents a GA based model for determination of the best combination of the time, cost, and resources in a multiple resource constraint problem. The proposed model considers both resource allocation and leveling simultaneously. Since the problem is assumed to be resource constraint, res...

The resource-constrained project scheduling problem is to find a schedule that minimizes the project duration subject to precedence relations and resource constraints. To further account for economic aspects of the project, one may add an objective of cash nature to the problem. In addition, dynamic nature and variations in real world are known to introduce uncertainties into data. Therefore, t...

The majority of research examines the relationship between finance and environment empirically, but they lack a comprehensive theoretical framework. To shorten this gap, we develop an analytical framework dubbed “management in resource constraint settings” elucidate process constraints influencing environmental performance. We explore influence on performance China's enterprises, as well their ...

The multiobjective testing resource allocation problem (MOTRAP) is how to efficiently allocate the finite time various modules, with aim of optimizing system reliability, cost, and simultaneously. To deal this problem, a common approach use evolutionary algorithms (MOEAs) seek set tradeoff solutions between three objectives. However, such may contain substantial proportion very low reliability ...