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Immune Procedure for Optimal Scheduling of Complex Energy Systems [chapter]

Enrico Carpaneto, Claudio Cavallero, Fabio Freschi, Maurizio Repetto
2006 Lecture Notes in Computer Science  
The obtained results are very promising and make the use of immune based procedures available for real-time management of energy systems.  ...  The management of complex energy systems where different power sources are active in a time varying scenario of costs and prices needs efficient optimization approaches.  ...  The management of the energy system requires the definition of the on/off status of the machines and the identification of their optimal production profile of them.  ... 
doi:10.1007/11823940_24 fatcat:4yg25rohbfddzplblrakgl2hia

Analysis of the Distributed Immune Inspection Equipment Sensor Scheduling Model Based on Adaptive Dynamic Probabilistic Particle Swarm Optimization

Yi Zhou, Weili Xia, Shengping Peng, Guolong Shi
2021 Journal of Sensors  
can construct effective scheduling rules for the rescheduling of the system when dynamic events occur and the constructed scheduling.  ...  In this paper, an example simulation is carried out for the prescheduling and dynamic scheduling of immune inspection.  ...  For complex optimization problems, a heuristic algorithm is an effective solution tool.  ... 
doi:10.1155/2021/6598782 fatcat:4kpu2s4lzbbuvbot4fk4qg6evi

Hybrid Sorting Immune Simulated Annealing Algorithm For Flexible Job Shop Scheduling

N. Shivasankaran, P. Senthil Kumar, K. Venkatesh Raja
2015 International Journal of Computational Intelligence Systems  
Hybrid sorting immune simulated annealing technique (HSISAT), a Meta -heuristic is proposed for solving the multi objective flexible job-shop scheduling problem (FJSP).  ...  The major objectives are distributing the time of machines among the set of operations and scheduling them to minimize the criterion (makespan, total workload and maximum workload).  ...  The biological immune system is an adaptive, complex system that helps our body to defend against infection and disease.  ... 
doi:10.1080/18756891.2015.1017383 fatcat:2d5aultrr5az7fw5yjq5htdjee

Vaccine protocols optimization: In silico experiences

Francesco Pappalardo, Marzio Pennisi, Filippo Castiglione, Santo Motta
2010 Biotechnology Advances  
Vaccines represent a special class of drugs, capable of stimulating immune system responses against pathogens and tumors.  ...  In this article, we focus on the difficult problem of the search for an optimal vaccination dosage in the field of tumor immunology, that is a major issue in biomedical research.  ...  Acknowledgement This work was partially supported under the EC contract FP6-2004-IST-4, No.028069 (ImmunoGrid, and under EC contract FP6-2005-NEST-PATH, No.043241 (Complex-Dis  ... 
doi:10.1016/j.biotechadv.2009.10.001 pmid:19833190 fatcat:6of44cckene4zblqpabhen2j3i

An Evaluation of a Metaheuristic Artificial Immune System for Household Energy Optimization

Maria Navarro-Caceres, Pramod Herath, Gabriel Villarrubia, Francisco Prieto-Castrillo, G. Kumar Venyagamoorthy
2018 Complexity  
The aim of this work is to present the application of an artificial immune system in the context of different energy optimization problems.  ...  Likewise, a case study is performed in which an artificial immune system is incorporated in order to solve an energy management problem in a domestic environment.  ...  This work has been partially supported by the European Commission H2020 MSCA-RISE-2014: DREAM-GO Project (Marie Sklodowska-Curie grant agreement no. 641794) and by the National Science Foundation (NSF) of  ... 
doi:10.1155/2018/9597158 fatcat:fmy6a5ztjzb3plszkfu6tlag24

Multi-Objective Task Scheduling for Energy-Efficient Cloud Implementation of Hyperspectral Image Classification

Jin Sun, Heng Li, Yi Zhang, Yang Xu, Yaoqin Zhu, Qitao Zang, Zebin Wu, Zhihui Wei
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
of the cloud system.  ...  We further develop an effective scheduling algorithm to solve the multiobjective optimization problem and produce a set of Paretooptimal solutions, providing the tradeoff between computational efficiency  ...  The scheduling solution obtained by our scheduling algorithm is beneficial for achieving the overall quality-of-service of the cloud system. B.  ... 
doi:10.1109/jstars.2020.3036896 fatcat:lpopweco6zejthx6buix4fevce

Modeling of Biological Intelligence for SCM System Optimization

Shengyong Chen, Yujun Zheng, Carlo Cattani, Wanliang Wang
2012 Computational and Mathematical Methods in Medicine  
Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for  ...  An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy.  ...  The algorithm can guarantee the determination of a feasible schedule for any given set of requests and can address the highly complex scheduling problem of an entire supply-chain for just-in-time production  ... 
doi:10.1155/2012/769702 pmid:22162724 pmcid:PMC3227372 fatcat:yq3dyfvyc5gtrnrmfdfsdaiwdu

GRID Computing and Computational Immunology [chapter]

Ferdinando Chiacchio, Francesco Pappalardo
2011 Computational Biology and Applied Bioinformatics  
There is a close similarity, indeed, between the procedure of annealing in solids and the framework required for optimization of complex systems.  ...  models of immune system).  ...  , and correlate huge data sets of complex information.  ... 
doi:10.5772/24350 fatcat:zjvgpmkdr5fehcudt3qzrpiwwm

Multi-objective Shop Floor Scheduling Using Monitored Energy Data

T. Stock, G. Seliger
2015 Procedia CIRP  
The adaption of the energy demand to the intermittent supply results in different energy-related objectives for the production system of the factory, such as reducing energy consumption, avoiding power  ...  For this purpose, a solution methodology based on a meta-heuristic will be described for Flexible Job Shop Scheduling taking into account different energy-as well as productivity-related objectives.  ...  Shop Floor Scheduling can be used to pursue these energy-related objectives for the production system [2] .  ... 
doi:10.1016/j.procir.2014.07.178 fatcat:kiy75c4qhbfctk2d33eyzqdl34

Application of Artificial Immune System to Domestic Energy Management Problem

María Navarro-Cáceres, Amin Shokri Gazafroudi, Francisco Prieto-Castrillo, Juan Manuel Corchado
2017 Zenodo  
Devices connected in smart homes needs to be optimally scheduled, in order to save energy and money.  ...  We carry out a deep analysis about the parameters of the artificial immune system to demonstrate it is able to find a successful optimum respecting the problem constraints.  ...  Various researches have been conducted for optimal scheduling of home energy, and different algorithms and methods have been presented.  ... 
doi:10.5281/zenodo.2677552 fatcat:fpmrlezckrfp7gunzrtdnfc6ue


2009 Journal of Circuits, Systems and Computers  
This process required the use of a High Performance Computing (HPC) infrastructure for several days.  ...  In this paper we show another optimization procedure based on simulated annealing approach used to get a faster algorithm response.  ...  This work makes use of results produced by the PI2S2 Project managed by the Consorzio COMETA, a project co-funded by the Italian Ministry of University and Research (MIUR) within the Piano Operativo Nazionale  ... 
doi:10.1142/s0218126609005770 fatcat:affh7hvfxveupdbfrbvv2x4jfy

Applying a Bio-inspired Paradigm to Manage a Domestic Electric System

María Navarro-Cáceres, Amin Shokri Gazafroudi, Kumar G. Venyagamoorthy, Juan Manuel Corchado
2018 Zenodo  
Therefore, a wide number of optimization models have been developed for the management of energy, such as fuzzy logic, linear programming or bio-inspired algorithms.  ...  In the domestic environments, the connection of devices is essential for saving energy and money.  ...  There are different strategies that optimize the scheduling of home power usage.  ... 
doi:10.5281/zenodo.2677500 fatcat:cg7xvj75onadrj65m3oexmur5a

A Review on Resource Scheduling Models to Optimize Quality of Service Parameters in Grid Computing using Meta-heuristics

Dinesh PrasadSahu, Karan Singh, Shiv Prakash
2015 International Journal of Computer Applications  
The complexity of application, user requirements and system heterogeneity prevents any scheduling procedure in achieving its best performance.  ...  Task scheduling in CG is a complex problem as many QoS parameters and system constraints are involved. This paper deliberates over the problem and various tools used in order to solve this problem.  ...  The complexity of application, user requirements and system heterogeneity prevents any scheduling procedure in achieving its best performance.  ... 
doi:10.5120/19995-1741 fatcat:nu6xwgvbxnb5zew424r6o6yrmq

AI-based methods to resolve Real time scheduling for embedded systems

2021 International Journal of Cognitive Informatics and Natural Intelligence  
aware scheduling algorithms for ES.  ...  , Fuzzy logic, Artificial Immune Systems, Cellular Automata, Evolutionary algorithms, Multi-agent Systems and Swarm Intelligence.  ...  Immune Systems, n.d).  ... 
doi:10.4018/ijcini.290308 fatcat:2hax7lts4vanbin4iqxy4cthwm

Hybrid Evolutionary Algorithm based Task Scheduling Mechanism for Resource Allocation in Cloud Environment

Bala Krishna M.
2021 Revista GEINTEC  
The existing research work, introduced a strategic theory (ST) based Improved Elephant Herd Optimization (IEHO) for feasible allotment procedure where the result function confess a straight payment system  ...  In a cloud computing system, it's critical to figure out how to effectively schedule work.  ...  Once a new application for resource occurs, the system will perform the MCSA to update the total allotment of resources for an energy efficient resource allotment.  ... 
doi:10.47059/revistageintec.v11i4.2101 fatcat:74axrydgr5axzmijuedftcevk4
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