Recent years have witnessed the use of metaheuristic algorithms to solve the optimization
problems that usually require extensive computations and time. Among others, scatter …

In this study we develop a method which improves a credit card fraud detection solution
currently being used in a bank. With this solution each transaction is scored and based on …

This paper proposes an approach to optimally synthesize quantum circuits by symbolic
reachability analysis, where the primary inputs and outputs are basis binary and the internal …

In parallel with the growth of both domestic and international economies, there have been
substantial efforts in making manufacturing and service industries more environmental …

The optimization problems of water distribution networks are complex, multi-modal and
discrete-variable problems that cannot be easily solved with conventional optimization …

Reversible quantum logic plays an important role in quantum computing. In this paper, we
propose an approach to optimally synthesize quantum circuits by symbolic reachability …

The probabilistic traveling salesman problem (PTSP) is an important theoretical and
practical topic in the study of stochastic network problems. It provides researchers with a …

Mobile ad hoc networks (MANETs) are gaining popularity in recent years due to their
flexibility, the proliferation of smart computing devices, and developments in wireless …

In this chapter, a scatter search (SS) method is proposed to solve the multiobjective
permutation fuzzy flow shop scheduling problem. The objectives are minimizing the average …

In the last decade job shop scheduling problems have been subject to intensive research
due to their multiple applications. Job shop scheduling is known as a strongly NP-complete …