Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …

Bayesian model selection (BMS) is a powerful method for determining the most likely among
a set of competing hypotheses about the mechanisms that generated observed data. BMS …

An accessible treatment of the modeling and solution of integer programming problems,
featuring modern applications and software In order to fully comprehend the algorithms …

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

Over the last 15 years, hundreds of papers presenting applications of tabu search, a
heuristic method originally proposed by (1986), to various combinatorial problems have …

provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundiss…
job of working with the (proprietary) algorithms of the software vendors. In this book we …

In this paper, we consider a memory-based heuristic of tabu search to solve the attribute
reduction problem in rough set theory. The proposed method, called tabu search attribute …

Swarm and evolutionary based algorithms represent a class of search methods that can be
used for solving optimization problems. They mimic natural principles of evolution and …

In deregulated power systems, distribution network operators (DNO) are responsible for
maintaining the proper operation and efficiency of distribution networks. This is achieved …

As the credit industry has been growing rapidly, credit scoring models have been widely
used by the financial industry during this time to improve cash flow and credit collections …