Marine Traffic Optimization Using Petri Net and Genetic Algorithm

Gudelj, Anita; Kezić, Danko; Vidačić, Stjepan

doi:10.7307/ptt.v24i6.1199

Cited by 9 publications

(8 citation statements)

References 14 publications

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“…Petri net (PN) is a bipartite graph determined by four kinds of objects: places, transitions, directed arcs and tokens (Gudelj et al, 2012). In the PN model, places represent system states and transitions represent the assessment of transition of system states.…”

Section: Colored Petri Nets (Cpns)mentioning

confidence: 99%

Optimal Design of Ship’s Hybrid Power System for Efficient Energy

Krčum

Gudelj

Tomas

2018

ToMS

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The International Maritime Organization regulations on the reduction of greenhouse gas emissions (GHGs) from ships require efficient dealing with this complex techno-economic and highly political problem through joint efforts of all major stakeholders from the shipbuilding industry and ship operations.The key problems of any research in the field of renewable energy, including power generation, storage, transformation and distribution, and the issues associated with limited power generation for specific loads, are the same issues that are experienced in the implementation of electric distribution technologies onboard ships. This paper analyses the effects of efficient shipping using the solar panel system and batteries to ensure continuous power supply, regardless of the weather conditions. The logistics chain of this control architecture is modelled by Colored Petri Nets. The economic analysis examines the annual costs of fuel consumption, the initial capital cost, total net cost and CO 2 emissions.

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Section: Colored Petri Nets (Cpns)mentioning

confidence: 99%

Optimal Design of Ship’s Hybrid Power System for Efficient Energy

Krčum

Gudelj

Tomas

2018

ToMS

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“…An entirely different approach is presented in [9], which evolves some parameters. Based on these parameters and a template the final PN is assembled.…”

Section: Evolving Petri Netsmentioning

confidence: 99%

Interactive development of cyber physical systems using UETPN model

Kilyen

Leţia

2018

Annals of Computer Science and Information Systems

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This paper presents a novel approach to synthesise hybrid controllers. A two-phase multi-objective evolutive algorithm was used to generate Unified Enhanced Timed Petri Net (UETPN) models. These models combine capabilities of timed Petri-nets, fuzzy logic systems and simple arithmetic operators. They can handle both event-like and continuous inputs (and outputs). The first phase of the algorithm uses Koza style genetic programming combined with multi-objective methods such as NSGA-II and SPEA2 to obtain an initial model. The second phase improves the initial model with recombining the fuzzy rules with genetic algorithm GA. In order to generate UETPN models (with GP), an intermediate language was designed, called UETPN Lisp. Four example are presented to exemplify the potential of the proposed framework.

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“…Where v is a transition vector composed of non-negative integers that correspond to the number of times a particular transition has been fired between markings m k and m k+1 . [13] The behavior and state changes of a DES system can be modeled by a Petri net model. In some cases we want to control the qualitative behavior of a system.…”

Section: Petri Net and Idea Of Supervisory Controlmentioning

confidence: 99%

Decentralized Supervision of Mobile Sensor Networks using Petri Net

Jafarinejad¹,

Pouyan²

2015

IJCSEIT

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In semiautonomous mobile sensor networks, since human operators may be involved in the control loop, particular improper actions may cause accidents and result in catastrophes. For such systems, this paper proposes a decentralized supervisory control system to accept or reject the human-issued commands so that undesirable executions never be performed. In the present approach, Petri nets are used to model the operated behaviors and to synthesize the decentralized supervisory system. The presented technique could be applied to large-scale and complicated wireless mobile sensor networks.

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Marine Traffic Optimization Using Petri Net and Genetic Algorithm

Abstract: ABSTRACT

Cited by 9 publications

References 14 publications

Optimal Design of Ship’s Hybrid Power System for Efficient Energy

Optimal Design of Ship’s Hybrid Power System for Efficient Energy

Interactive development of cyber physical systems using UETPN model

Decentralized Supervision of Mobile Sensor Networks using Petri Net

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