With mobile phones becoming increasingly prevalent and embedding high-quality
microphones, attackers have the ability to employ these microphones to eavesdrop user's …

Given the significant recent advances in added layer manufacturing and materials
engineering, new types of materials or new material micro-structures are becoming …

Abstract Particle Swarm Optimization (PSO) is a key tool in Artificial Intelligence, is well-
known to the public for its effectiveness in addressing complex and diverse problems. It …

This paper attempts to conceptualize a potent methodology by combining the African
vultures optimization algorithm (AVOA) with a multi-orthogonal-oppositional strategy …

Differential evolution (DE) is an effective population-based optimization approach that has
been widely used to deal with scientific and engineering problems. However, the …

Metaheuristic algorithms for constrained optimization are popular because of their simplicity
and ability to find global solutions. However, they can be computationally demanding and …

Combining cloud radio access network (C-RAN) and mobile edge computing (MEC) can
effectively reduce network service latency and improve network reliability. The locations of …

This paper presents a comprehensive bibliometric analysis of the field of Autonomous
Unmanned Systems (AUS), focusing specifically on genetic algorithm-based path planning …

To improve the performance of original dwarf mongoose optimization algorithm, this study
proposes an elite leader dwarf mongoose optimization algorithm (EL-DMOA). EL-DMOA …

Abstract Parallel Genetic Algorithms (PGAs) have been widely applied to accelerate
solutions for real-world problems such as energy optimization in building constructions, data …