Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

Delivering services for Internet of Things (IoT) applications that demand real-time and
predictable latency is a challenge. Several IoT applications require stringent latency …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

Abstract The Traveling Salesman Problem (TSP) is one of the standard test problems used
in performance analysis of discrete optimization algorithms. The Ant Colony Optimization …

Swarm intelligence is a research field that models the collective intelligence in swarms of
insects or animals. Many algorithms that simulates these models have been proposed in …

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 …

Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving
systems with sophisticated collective intelligence. Composed of simple interacting agents …

An analogy with the way ant colonies function has suggested the definition of a new
computational paradigm, which we call ant system (AS). We propose it as a viable new …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …