A dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on
interval type-2 fuzzy systems is presented in this paper. The idea is to be able to apply this …

Swarm-inspired optimization has become very popular in recent years. Particle swarm
optimization (PSO) and Ant colony optimization (ACO) algorithms have attracted the interest …

The traveling salesman problem is a classic combinatorial optimization challenge with
profound implications for various industries. While significant progress has been made in …

Purpose Autonomous obstacle avoidance is important in unmanned surface vehicle (USV)
navigation. Although the result of obstacle detection is often inaccurate because of the …

A lot of models have been made for predicting software reliability. The reliability models are
restricted to using particular types of methodologies and restricted number of parameters …

Pedelecs are an alternative of traditional share bikes by applying the battery-powered motor
to assist pedaling and accordingly extend the riding coverage. The large scale deployment …

The traveling purchaser problem (TPP) is a notable generalization of the traveling salesman
problem (TSP) which involves selecting a subset of markets at a minimum traveling cost …

In this paper we propose a method for parameter adaptation in Ant Colony Optimization
(ACO); with the use of a fuzzy system we dynamically adapt the “rho” parameter which is …

Fuzzy logic has been a useful tool for modeling complex problems, with the use of fuzzy
variables and fuzzy rules, and in this paper we use a fuzzy system for parameter adaptation …

Abstract Ant Colony Optimization, a popular class of metaheuristics, have been widely
applied for solving optimization problems like Vehicle Routing Problem. The performance of …