Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic
Algorithms can be applied to process controllers for their optimization using natural …

Efficient allocation of channels for wireless communication in different network scenarios
has become an extremely important topic of recent research. The main challenge lies in the …

We study outdoor 3D scene understanding, a challenging task demanding the intelligent
system to infer both geometry and semantics from a single-view image–a critical skill for …

This paper proposes a methodology for the channel assignment problem in the cellular
communication industry. The problem considers the assignment of a limited channel …

Adaptive genetic algorithms (GAs) have been shown to be able to improve GA performance
in reliability-related optimization studies. However, there are different ways to implement …

The problem of radio channel assignments with multiple levels of interference can be
modelled using graph theory. The theory of integer vertex-labellings of graphs with distance …

This paper presents a new genetic algorithm (GA) with good convergence properties and a
remarkable low computational load. Such features are achieved by on-line tuning up the …

As developments in wireless ad hoc networks continue, there is an increasing expectation
with regard to supporting content-rich multimedia communications (eg, video) in such …

Intercell interference is the main issue limiting the capacity of modern orthogonal frequency‐
division multiple access based cellular networks. Recently, extensive research work has …

An n-radio k-coloring of a graph G is a function l: V (G)→{0, 1,…, n} satisfying the condition| l
(u)− l (v)|≥ k+ 1− d (u, v) for all distinct u, v∈ V (G). The radio k-chromatic number rck (G) of …