Aimed at the optimal chiller loading problem in parallel chillers system, an improved parallel
particle swarm optimization (IPPSO) algorithm is proposed. This algorithm uses random and …

The paper is concerned with one of the most important questions in conflict analysis: How
decision makers can strategically interact in a conflict to reach a specified equilibrium? More …

A regression analysis method integrating signal preprocessing, dimensional analysis, and
particle swarm optimization is introduced and applied to a cross tunnel blasting engineering …

The ever-increasing need for stable, seamless, high-speed connectivity places an enormous
burden on the communications infrastructure, comprised of access, backhaul, and core …

Abstract Solving large-scale Mixed Integer Linear Programs (MIP) can be difficult without
advanced algorithms such as decomposition based techniques. Even if a decomposition …

Time-critical coverage applications including search and rescue are among the most
important considered for autonomous, multiagent path-planning. Utilizing multiple self …

Owing to the characteristics of market-oriented cloud computing, the objective function of
cloud workflow scheduling algorithm should not only consider the running time, but also …

Abstract Deterministic Networking (DetNet) provides guaranteed packet transport services of
ultra-low packet loss and bounded delay for the critical traffic in real-time applications such …

Finding disjoint and widest paths are key problems in telecommunication networks. In this
paper, we study the Widest k-set of Disjoint Paths Problem (WKDPP), an-Hard optimization …

Target set selection problems model influence processes through networks. Usually, these
problems seek a set of individuals to be initially influenced by some content and will help to …