Area of computational intelligence is gaining researcher's attention in ongoing trend of
technology and evolution due to their high capability to deliver near-optimal solutions. A new …

Multi-verse optimizer is one of the recently proposed nature-inspired algorithms that has
proven its efficiency in solving challenging optimization problems. The original version of …

Task scheduling is considered as one of the most critical problems in cloud computing
environment. The main target of task scheduling includes scheduling jobs on virtual …

The knapsack problem is one of the combinational optimization issues. This problem is an
NP-hard problem. Soft computing methods, including the use of metaheuristic algorithms …

Requirement engineering is the base phase of any software project, since this phase is
concerned about requirements identification, processing and manipulation. The main source …

The quadratic knapsack problem is an NP-hard optimization problem with many diverse
applications in industrial and management engineering. However, computational …

In software projects, the requirement engineering phase is the base of any project and this
phase is concerned in software requirements processes. Stakeholders are the main source …

Requirement prioritization is one of the most important approach in the process of
requirement engineering due to use it in order to prioritize the execution sort of requirements …

Honey Badger Algorithm (HBA) is one of the recently proposed optimization techniques
inspired by the foraging behavior of honey badger. Although it has been successfully …

List-based simulated annealing (LBSA) algorithm, which uses list-based cooling scheme to
control the change of parameter temperature, was first proposed for traveling salesman …