Faster, ultra-reliable, low-power, and secure communications has always been high on the
wireless evolutionary agenda. However, the appetite for faster, more reliable, greener, and …

The difficulty to solve multiple objective combinatorial optimization problems with traditional
techniques has urged researchers to look for alternative, better performing approaches for …

Minimizing the ongoing impact of train delays has benefits to both the users of the railway
system and the railway stakeholders. However, the efficient rescheduling of trains after a …

Most real world combinatorial optimization problems are difficult to solve with multiple
objectives which have to be optimized simultaneously. Over the last few years, researches …

We define a multilayer optimization method for the quantum Internet. Multilayer optimization
integrates separate procedures for the optimization of the quantum layer and the classical …

QoS multicast routing is a non-linear combinatorial optimization problem that arises in many
multimedia applications. Providing QoS support is crucial to guarantee effective …

Self-organizing networks act autonomously for the sake of achieving the best possible
performance. The attainable routing depends on a delicate balance of diverse and often …

QoS multicast routing is a non-linear combinatorial optimization problem. It tries to find a
multicast routing tree with minimal cost that can satisfy constraints such as bandwidth, delay …

This paper presents an optimal design of a linear motor considering two objective functions
namely, maximum force and minimum saturation and design of air-cored solenoid with …

This paper presents the investigation of an evolutionary multi-objective simulated annealing
(EMOSA) algorithm with variable neighbourhoods to solve the multi-objective multicast …