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Table of Contents - Volume 4

2009 2009 Fifth International Conference on Natural Computation  
Hybrid Genetic-Simulated Annealing Algorithm of Location-Allocation Optimization of Looped Gathering and Transportation Pipe Network ...........................................275 Li-xin Wei, Hua-sha Jiang  ...  Evolution Algorithm with Annealing and Chaos ................................................270 Yuelin Gao and Songwei Jia  ... 
doi:10.1109/icnc.2009.777 fatcat:g3ffqipyhrfyzirgzg3odp7jdq

Energy Efficient Hop-by-Hop Retransmission and Congestion Mitigation of an Optimum Routing and Clustering Protocol for WSNs

Prakash K Sonwalkar, Vijay Kalmani
2022 International Journal of Advanced Computer Science and Applications  
After performing additional optimized overhead to improve the network lifespan of wireless sensors networks, the current algorithm can be paralleled to the less energy adaptive clustering hierarchy protocol  ...  Various routing pseudo codes have been suggested for network optimization, emphasizing energy efficiency, network longevity, and clustering processes.  ...  The research was performed on a clustering routing protocol for the energy balance of wireless sensor networks based on simulated annealing and genetic algorithm.  ... 
doi:10.14569/ijacsa.2022.0130379 fatcat:nd3iwwlrxbc77j2wffct7hjmoa

State of the Art for the Optimization and Simulation of the Distribution of Hydrocarbons

Idalia Flores de la Mota, Emilio Sampayo Trujillo
2019 International Journal of Combinatorial Optimization Problems and Informatics  
Because of the characteristics of the problem in general, there is more research available that uses mathematical models and finds the solution with different optimization methods.  ...  Secondly, though no less important, we found simulation models for studying some aspects that are differentiated from the optimization models.  ...  Acknowledgements To PAPIIT project IT102117 Accesibilidad y movilidad del transporte público urbano en la ciudad de México, el caso de la delegación Tlalpan.  ... 
dblp:journals/ijcopi/MotaT19 fatcat:yjqwobrae5ch7dg4pc5np33fh4

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks [article]

Sanaa Hamid Mohamed, Taisir E.H. El-Gorashi, Jaafar M.H. Elmirghani
2019 arXiv   pre-print
This survey article reviews the challenges associated with deploying and optimizing big data applications and machine learning algorithms in cloud data centers and networks.  ...  networks.  ...  All data are provided in full in the results section of this paper.  ... 
arXiv:1910.00731v1 fatcat:kvi3br4iwzg3bi7fifpgyly7m4

Collaborative and Cognitive Network Platforms: Vision and Research Challenges

Ertan Onur, Yunus Durmus, Mohamed Gamal Hawas, Sonia Marcela Heemstra de Groot, Ignas G. M. M. Niemegeers
2011 Wireless personal communications  
In CCNP, the cognitive control plane strives to exploit the resources to better satisfy the requirements of networked applications. CCNP facilitates collaboration inherently.  ...  In this paper, we present a visionary concept referred to as Collaborative and Cognitive Network Platforms (CCNPs) as a future-proof solution for creating a dependable, self-organizing and self-managing  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s11277-011-0289-4 fatcat:ivbl73krzbhhhopoinqloz5rp4

Development of an Intelligent Urban Water Network System

Kiran Joseph, Ashok K. Sharma, Rudi van Staden
2022 Water  
These intelligent networks address management and operational challenges associated with pressure and flow variations in the water network and it reduces the time for identification of pipe bursts and  ...  Implementation of an intelligent algorithm with an integrated Supervisory Control and Data Acquisition (SCADA) system, high-efficiency smart sensors, and flow meters, including a tracking mechanism, will  ...  Among the programming models available are simulated annealing [108], fuzzy linear programming [109] , and multi-objective genetic algorithms in real-time [110] .  ... 
doi:10.3390/w14091320 doaj:695546a9c05348eabd295504cfe3efce fatcat:tdlpvqgc5vctrh45udsxqnciz4

Lost in optimisation of water distribution systems? A literature review of system operation

Helena Mala-Jetmarova, Nargiz Sultanova, Dragan Savic
2017 Environmental Modelling & Software  
and others) linked with a network simulator EPANET (for example Alfonso et al. (2010), Dandy and Gibbs (2003)).  ...  , pipe roughness and chemical reactions of the disinfectant (Rico-Ramirez et al. 2007).  ...  Since the 1990s, metaheuristic algorithms, such as genetic algorithms (GAs), simulated annealing (SA), to name a few, have been applied to the optimal operation of WDSs with increased popularity.  ... 
doi:10.1016/j.envsoft.2017.02.009 fatcat:ryp5kbzafrb43lprrx5ptzzvme

The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping

Berit D. Brouer, Jakob Dirksen, David Pisinger, Christian E.M. Plum, Bo Vaaben
2013 European Journal of Operational Research  
We present the formal mathematical model of the problem, which is NP-hard, and propose list heuristics as well as the genetic algorithm solving it.  ...  In considering the interests of users and investors, the proposed model attempts to determine the number and locations of bike stations, the network structure of bike paths connected between the stations  ...  -Optimal Dynamic Tax Evasion: A Portfolio Approach Francesco Menoncin, Economics, Brescia University, Via S. Faustino, 74/B, 25122, Brescia, Italy,, Rosella Levaggi  ... 
doi:10.1016/j.ejor.2012.08.016 fatcat:c27kagfnxnhjfbil2rydhjhomm

Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

Ozden Tozanli, Gazi Duman, Elif Kongar, Surendra Gupta
2017 Logistics  
Research in the broad area of ECLO encompasses a wide range of topics including sustainable supply chain, green supply chain, closed-loop supply chain, low-carbon logistics, and waste management.  ...  The findings clearly indicate that the fuzzy multi-criteria decision making technique is a frequently used hybrid method, whereas fuzzy sets theory and other fuzzy hybrid techniques identify a gap in the  ...  Bound 3 Memetic algorithm 2 Genetic algorithm 24 Simulated annealing 3 Tabu search 2 Variable neighborhood search 3 Particle swarm optimization 6 Artificial NN 6 Others (c) 16 Simulation  ... 
doi:10.3390/logistics1010004 fatcat:bef6xhjw7bf45c4uohjim6cg2a

Twenty Years of PRES: Past, Present and Future – Process Integration Towards Sustainability

J.J. Klemes, P.S. Varbanov, H.L. Lam
2017 Chemical Engineering Transactions  
The conference has become one of the main vehicles of spreading Process Integration into various research directions and fields of possible implementation.  ...  The paper is targeted to provide an overview of the main achievements and ideas presented at PRES conferences. The conference history is now reaching its first 20 y – from 1998 to 2017.  ...  Acknowledged are also all authors who published their innovative works in Chemical Engineering Translations and made PRES conferences successful and continuously running for twenty years already.  ... 
doi:10.3303/cet1761001 doaj:bbddadfdb73e48f9bfae24a3986cc010 fatcat:sktmk7z26rh7rkxaxgfbdsijli

Implementation and performance aspects of Kahn process networks

Zeljko Vrba
2010 ACM SIGMultimedia Records  
KPNs have gained acceptance in simulation and signal-processing communities.  ...  KPNs are a model of concurrency that relies exclusively on message passing, and that has some advantages over parallel programming tools in wide use today: simplicity, graphical representation, and determinism  ...  Bui and Moon [120] apply a hybrid genetic algorithm to the graph partitioning problem and evaluate their approach on many types of graphs.  ... 
doi:10.1145/1874413.1874418 fatcat:sm5wsqpyyfevtarf6336elhyny

A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks

Elena Meshkova, Janne Riihijärvi, Marina Petrova, Petri Mähönen
2008 Computer Networks  
Service and resource discovery has become an integral part of modern networked systems.  ...  In this survey we give an overview of the existing solutions for service and resource discovery for a wide variety of network types.  ...  ACKNOWLEDGMENT We would like to thank DFG (Deutsche Forschungsgemeinschaft) and RWTH Aachen for the partial financial support through UMIC-excellence cluster funding. Two of us (EM and  ... 
doi:10.1016/j.comnet.2008.03.006 fatcat:taublleoprhargi7doaj2sm7ay

An ant-based algorithm for distributed routing and wavelength assignment in dynamic optical networks

Joan Triay, Cristina Cervello-Pastor
2010 IEEE Journal on Selected Areas in Communications  
In this work, we propose the use of an ant colony optimization (ACO) algorithm to solve the intrinsic problem of the routing and wavelength assignment (RWA) on wavelength continuity constraint optical  ...  This will also require addressing issues such as the design of highly distributed control plane systems and their associated algorithms to respond to network changes very rapidly.  ...  ACKNOWLEDGMENT Work supported by the Government of Spain and FEDER through project TEC2009-13901-C02-01, the i2CAT Foundation's project TARIFA, the EC-FP7 EURO-NF NoE and by the Government of Catalonia  ... 
doi:10.1109/jsac.2010.100504 fatcat:m5xtxoor7nfpplhmqkw2apv6iy

Routing protocols in ad hoc networks: A survey

Azzedine Boukerche, Begumhan Turgut, Nevin Aydin, Mohammad Z. Ahmad, Ladislau Bölöni, Damla Turgut
2011 Computer Networks  
This class of algorithms aims to solve the complex optimization and collaboration problems without direct communication among the participants.  ...  Temporally Ordered Routing Algorithm (TORA) [89, 139]: Park and Corson proposed TORA, an adaptive and scalable routing algorithm based on the concept of link reversal.  ...  Genetic algorithms for group multicast [100] : Randaccio and Atzori propose a genetic algorithm (GA) based approach to the problem of finding multicast trees which optimize bandwidth and delay parameters  ... 
doi:10.1016/j.comnet.2011.05.010 fatcat:w26gumgminh4lmzsufqm4warsm

Computer and Information Science, Vol. 1, No. 4, November 2008, all in one file

Editor CIS
2008 Computer and Information Science  
As an algorithm, the main strength of PSO is its fast convergence, which compares favorably with many global optimization algorithms like Genetic Algorithms (GA) [22] , Simulated Annealing (SA) [20.]  ...  Principle of the genetic algorithms optimizing PI parameters The genetic algorithm is a optimization algorithm simulating natural selection and evolution process and its basic theorem is: firstly, encode  ...  signal excitation is single short pulse shape leading edge, and spectrum include regions from direct current to microwave frequency line.  ... 
doi:10.5539/cis.v1n4p0 fatcat:j5oetg3ex5fxboaobvd3erc6tu
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