After the seminal books by Martello and Toth (1990) and Kellerer, Pferschy, and Pisinger
(2004), knapsack problems became a classical and rich research area in combinatorial …

Literature reviews represent a key genre for preserving and develo** knowledge in many
scientific fields, including the operations research (OR) discipline. Although the body of OR …

Generation (or a posteriori) methods in Multi-Objective Mathematical Programming (MOMP)
is the most computationally demanding category among the MOMP approaches. Due to the …

Many real-world optimization problems can be solved by using the data-driven approach
only, simply because no analytic objective functions are available for evaluating candidate …

With the emergence of smart grid (SG), the consumers have the opportunity to integrate
renewable energy sources (RESs) and take part in demand side management. In this paper …

Internet of Vehicles and vehicular networks have been compelling targets for malicious
security attacks where several intrusion detection solutions have been proposed for …

We present a new criterion space search algorithm, the balanced box method, for finding all
nondominated points of a biobjective integer program. The method extends the box …

While the usage of smart devices is increasing, security attacks and malware affecting such
terminals are briskly evolving as well. Mobile security suites exist to defend devices against …

Abstract Grey Wolf Optimizer (GWO) is a new meta-heuristic that mimics the leadership
hierarchy and group hunting mechanism of grey wolves in nature. A binary version is …

Solutions to real-life optimization problems usually have to be evaluated considering
multiple conflicting objectives. These kind of problems, known as multi-objective …