With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …

Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …

The behavior of natural phenomena has become one of the most popular sources for
researchers to design optimization algorithms for scientific, computing and engineering …

In this paper, an effective improved co-evolution ant colony optimisation (MSICEAO)
algorithm is presented to solve complex optimisation problem. In the MSICEAO, the multi …

Nature‐inspired algorithms are becoming popular among researchers due to their simplicity
and flexibility. The nature‐inspired metaheuristic algorithms are analysed in terms of their …

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Unmanned combat aerial vehicle (UCAV) path planning is a fairly complicated global
optimum problem, which aims to obtain an optimal or near-optimal flight route with the …

The integration of renewable energy sources together with an energy storage system into a
distribution network has become essential not only to maintain continuous electricity supply …

In this paper, a modified version of the bat algorithm (BA), called enhanced Lévy flight bat
algorithm (ELBA), is proposed for accurate and efficient parameter extraction of different …

Fused filament fabrication (FFF), a portable, clean, low cost and flexible 3D printing
technique, finds enormous applications in different sectors. The process has the ability to …