The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …

The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

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 …

This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …

In this paper we present a conceptual framework for parameter tuning, provide a survey of
tuning methods, and discuss related methodological issues. The framework is based on a …

Multi-start methods strategically sample the solution space of an optimization problem. The
most successful of these methods have two phases that are alternated for a certain number …

Optimization and its related solving methods are becoming increasingly important in most
academic and industrial fields. The goal of the optimization process is to make a system or a …

The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

In this paper, we address the Multi-Depot Open Vehicle Routing Problem (MDOVRP), which
is a generalization of the Capacitated Vehicle Routing Problem (CVRP) where vehicles start …