Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Abstract The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from
the social hunting behavior of grey wolves. This paper introduces the chaos theory into the …

Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according to …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

This paper presents the comparison results on the performance of the Artificial Bee Colony
(ABC) algorithm for constrained optimization problems. The ABC algorithm has been firstly …

Artificial Bee Colony (ABC) algorithm was firstly proposed for unconstrained optimization
problems on where that ABC algorithm showed superior performance. This paper describes …

Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review Page 1
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review …

Power loss minimization and voltage stability improvement are important areas of power
systems due to existing transmission line contingency, financial loss of utility and power …