Abstract Traveling Salesman Problem (TSP) is an intricate discrete hybrid optimization
problem that is categorized as an NP‐Hard problem. The objective of the TSP is to find the …

One of the most important effective factors the software companies face is the Software Cost
Estimation (SCE) in software development process time. SCE is one of the subjects which …

In this paper a new evolutionary algorithm, for continuous nonlinear optimization problems,
is surveyed. This method is inspired by the life of a bird, called Cuckoo. The Cuckoo …

Abstract We used Particle Swarm Optimization (PSO) algorithm hybrid with Fuzzy C-Means
(FCM) and Learning Automata (LA) algorithms for Software Cost Estimation (SCE). In this …

Now the Meta-Heuristic algorithms have been used vastly in solving the problem of
continuous optimization. In this paper the Artificial Bee Colony (ABC) algorithm and the …

Problems of distributing goods from one or more depots to customers generally become
substantial problems for many companies or factories. Those distribution problems have …

Clustering is a method of data analysis and one of the important methods in data mining that
has been considered by researchers in many fields as well as in many disciplines. In this …

Vehicle Routing Problems (VRPs) are commonly used as benchmark optimisation problems
and they also have many applications in industry. Using agent-based approaches to solve …

Software is reckoned to be one of the most expensive the application tools in the computer
system and accurate estimates the cost of software projects is always the most important …

Geographical data related to image processing, environmental monitoring and urban
planning are beings collected and stored in various databases. Processing and managing …