Browsing by Author "Polycarpou, Marios"

Conference Object

Active Fault Diagnosis via Reachable Set Separation using Interval Methods

Tsiakkas, Mihalis; Sopasakis, Pantelis; Boem, Francesca; Panayiotou, Christos; Polycarpou, Marios (2019)

This paper presents an optimization-based approach for active fault isolation in linear time invariant systems subject to additive disturbances which are bounded in intervals. We model the evolution of the system states ...

Article

Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]

Mavrovouniotis, Michalis; Yang, Shengxiang; Van, Mien; Li, Changhe; Polycarpou, Marios (2020)

Ant colony optimization is a swarm intelligence metaheuristic inspired by the foraging behavior of some ant species. Ant colony optimization has been successfully applied to challenging optimization problems. This article ...

Conference Object

Ant Colony optimization for the Electric Vehicle Routing Problem

Mavrovouniotis, Michalis; Ellinas, Georgios; Polycarpou, Marios (2018)

Ant colony optimization (ACO) algorithms have proved to be powerful tools to solve difficult optimization problems. In this paper, ACO is applied to the electric vehicle routing problem (EVRP). New challenges arise with ...

Conference Object

Consensus Approach to Secure State Estimation for a Class of Remotely Sensed Networked Systems

Tsiakkas, Mihalis; Nicolaou, Nicolas; Polycarpou, Marios; Panayiotou, Christos (2018)

Remote sensing is often a crucial part of cyber-physical and networked systems. Measurements taken at remote locations can both serve as monitoring tools as well as to inform control decisions. Over the past few years, a ...

Article

Distributed Fault-Tolerant Control of High-Order Input-Output Multi-Agent Systems

Khalili, Mohsen; Zhang, Xiaodong; Cao, Yongcan; Polycarpou, Marios; Parisini, Thomas (2018)

In this paper, a distributed adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain input-output multi-agent systems is developed. A decentralized local nonlinear observer is employed for estimating ...

Conference Object

Effective ACO-Based Memetic Algorithms for Symmetric and Asymmetric Dynamic Changes

Mavrovouniotis, Michalis; Bonilha, Iaê S.; Müller, Felipe M.; Ellinas, Georgios; Polycarpou, Marios (2019)

Ant colony optimization (ACO) algorithms have proved to be suitable for solving dynamic optimization problems (DOPs). The integration of local search operators with ACO has also proved to significantly improve the output ...

Conference Object

Electric Vehicle Charging Scheduling Using Ant Colony System

Mavrovouniotis, Michalis; Ellinas, Georgios; Polycarpou, Marios (2019)

In this work we consider the scheduling problem for charging a fleet of electric vehicles (EVs) within a station such that the total tardiness of the problem is minimized. The generation of a feasible and efficient schedule ...

Conference Object

Establishing Data Integrity in Networks of Cyber-Physical Systems

Tsiakkas, Mihalis; Kolios, Panayiotis; Polycarpou, Marios; Panayiotou, Christos (2018)

Cyber-physical systems are pervasive in today's society with applications ranging from critical infrastructure systems such as the power grid or water distribution network to industrial control systems. It is clear that ...

Article

Jointly-optimized Searching and Tracking with Random Finite Sets

Papaioannou, Savvas; Kolios, Panayiotis; Theocharides, Theocharis; Panayiotou, Christos G.; Polycarpou, Marios (2019)

In this paper we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents. The targets appear and disappear at random times inside a surveillance region and their ...

Conference Object

Optimization Based Partitioning Selection for Improved Contaminant Detection Performance

Kyriacou, Alexis; Timotheou, Stelios; Reppa, Vasso; Boem, Francesca; Panayiotou, Christos; Polycarpou, Marios; Parisini, Thomas (2018)

Indoor Air Quality monitoring is an essential ingredient of intelligent buildings. The release of various airborne contaminants into the buildings, compromises the health and safety of occupants. Therefore, early contaminant ...

Conference Object

Optimization-based Highway Traffic State Estimation with Bound Guarantees

Timotheou, Stelios; Panayiotou, Christos; Polycarpou, Marios (2018)

Uncertainty about the system behaviour and the sensor measurements hinders reliable traffic state estimation, affecting various transportation operations, especially traffic control and incident detection. This work proposes ...

Article

Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model

Kyrkou, Christos; Christoforou, Eftychios G.; Timotheou, Stelios; Theocharides, Theocharis; Panayiotou, Christos; Polycarpou, Marios (2018)

Networks of smart cameras, equipped with on-board processing and communication infrastructure, are increasingly being deployed in a variety of different application fields, such as security and surveillance, traffic ...

Article

Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model

Kyrkou, Christos; Christoforou, Eftychios G.; Timotheou, Stelios; Theocharides, Theocharis; Panayiotou, Christos; Polycarpou, Marios (2018)

Networks of smart cameras, equipped with on-board processing and communication infrastructure, are increasingly being deployed in a variety of different application fields, such as security and surveillance, traffic ...

Conference Object

Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem

Mavrovouniotis, Michalis; Li, Changhe; Ellinas, Georgios; Polycarpou, Marios (2019)

Parallelizing metaheuristics has become a common practice considering the computation power and resources available nowadays. The aim of parallelizing a metaheuristic is either to increase the quality of the generated ...