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Multi-objective evolutionary optimizations of a space-based reconfigurable sensor network under hard constraints
2009
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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This paper presents the optimizations of a space-based reconfigurable sensor network under hard constraints by employing an efficient multi-objective evolutionary algorithm (MOEA). ...
First, a system model is proposed for cluster-based space wireless sensor networks. ...
Thus, to evolve the space-based reconfigurable sensor network under multiobjectives and constraints, efficient multi-objective optimization algorithms are necessary and crucial. ...
doi:10.1007/s00500-009-0406-4
fatcat:fnvfteir2ff57ja5ogejtvckam
Multi-Objective Evolutionary Optimizations of a Space-Based Reconfigurable Sensor Network under Hard Constraints
2007
2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS 2007)
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This paper presents the optimizations of a space-based reconfigurable sensor network under hard constraints by employing an efficient multi-objective evolutionary algorithm (MOEA). ...
First, a system model is proposed for cluster-based space wireless sensor networks. ...
Thus, to evolve the space-based reconfigurable sensor network under multiobjectives and constraints, efficient multi-objective optimization algorithms are necessary and crucial. ...
doi:10.1109/bliss.2007.20
dblp:conf/bliss/YangEAB07
fatcat:aogas7lzevdq5kwdjntocdgula
An adaptive approach to space-based picosatellite sensor networks
2009
Evolutionary and Bio-Inspired Computation: Theory and Applications III
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Towards this end, this paper presents an adaptive approach to space-based picosatellite sensor network by exploiting efficient bio-inspired optimization algorithms, particularly for solving multi-objective ...
The rapid advancements in ad hoc sensor networks, MEMS (micro-electro-mechanical systems) devices, low-power electronics, adaptive hardware and systems (AHS), reconfigurable architectures, high-performance ...
The multiobjective optimal design of space-based reconfigurable sensor networks with novel adaptive MEMS antennas was investigated in [6] by using multi-objective evolutionary algorithms (MOEAs) [19 ...
doi:10.1117/12.820792
fatcat:ismwisxdnrfxth42tfop4hdw5y
Improving the energy efficiency of virtual data centers in an IT service provider through proactive fuzzy rules-based multicriteria decision making
2018
Journal of Supercomputing
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In contrast with previous works where heuristic mechanisms were designed using expert knowledge, the new proactive approach uses multiobjective evolutionary algorithms to learn fuzzy rule-based systems ...
provider's preferences and constraints. ...
Nevertheless, more sophisticated load models based on queuing networks as proposed in [5] can also be used for more accurate results. 2. ...
doi:10.1007/s11227-018-2301-1
fatcat:jlgafk7e5fflvit3yuiyvz2rjm
A review of power distribution planning in the modern power systems era: Models, methods and future research
2015
Electric power systems research
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Several models and methods have been proposed recently for the solution of the modern PDP problem. ...
In recent years, significant research efforts have been devoted to the optimal design of modern power distribution systems. ...
The authors wish to thank the SuSTAINABLE partners for their contributions and the EC for funding this project. ...
doi:10.1016/j.epsr.2014.12.010
fatcat:mnyahlvsivegdfav7l77nr4wma
SLOPES: Hardware–Software Cosynthesis of Low-Power Real-Time Distributed Embedded Systems With Dynamically Reconfigurable FPGAs
2007
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In this paper, we present a multiobjective hardwaresoftware cosynthesis system, called SLOPES, for multirate low-power real-time distributed embedded systems consisting of dynamically reconfigurable field-programmable ...
This two-dimensional scheduling algorithm determines task priorities based on real-time constraints and detailed frame-by-frame FPGA reconfiguration overhead information. ...
This paper describes a new dynamically reconfigurable embedded system synthesis algorithm based on an evolutionary hardware-software cosynthesis algorithm and a novel scheduling algorithm for partially ...
doi:10.1109/tcad.2006.883909
fatcat:wc3i4l3ponhcjklwalxa7cilye
A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks
2020
IEEE Access
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In smart grids development, metaheuristic algorithms are one of the optimization algorithms that have been applied extensively to mitigate the accompanying problems such as voltage instability, power loss ...
This paper presents a comprehensive review of metaheuristic techniques for the optimal integration of electrical units in distribution networks, considering different phases of the optimization process ...
EVOLUTIONARY-BASED ALGORITHMS These kinds of algorithms use Darwinian evolution and the natural selection theory for obtaining optimal solutions. ...
doi:10.1109/access.2020.3048438
fatcat:e2fyuaofarga3giriaittsjbuq
Synthesis of Phase-Only Reconfigurable Linear Arrays Using Multiobjective Invasive Weed Optimization Based on Decomposition
2014
International Journal of Antennas and Propagation
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of the recently well proved competitive multiobjective optimization algorithm MOEA/D to form a new competitive MOEA/D-IWO algorithm. ...
Synthesis of phase-only reconfigurable array aims at finding a common amplitude distribution and different phase distributions for the array to form different patterns. ...
With the rapid development of high-speed computer technology, more researchers prefer to adopt evolutionary algorithms for designing the pattern reconfigurable arrays. ...
doi:10.1155/2014/630529
fatcat:w7mglplv4fartn2qez2vesjreq
Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration
2017
Journal of Engineering Science and Technology Review
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Distribution network reconfiguration (DNR) continues to be a good option to reduce technical losses in a distribution power grid. ...
Some literature reviews specialize in topics concerning the optimization of power network reconfiguration and try to cover most techniques. ...
An Artificial Immune Network for Combinatorial Optimization (Copt-aiNet)-based and Artificial Immune Network for Optimization (Opt-aiNet) approach was used in [39] to solve the reconfiguration problem ...
doi:10.25103/jestr.105.20
fatcat:tsz5ylm4dbgclmqqqlw4y56224
Application of NSGA-II Algorithm to Multiobjective Optimization of Switching Devices Placement in Electric Power Distribution Systems
[chapter]
2014
IFIP Advances in Information and Communication Technology
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This work proposes a genetic evolutionary algorithm NSGA-II for the optimization between the maximal return of investments on existing assets, while maintaining the quality of service provided. ...
The proposed method was tested with a Portuguese real distribution network. The obtained results allowed to verify the performance of the adopted approach. ...
The NSGA-II Genetic Algorithm The chosen Genetic Algorithm NSGA-II (Fast Non-dominated Sorting Genetic Algorithm) is an elitist multiobjective evolutionary algorithm (MOEA). ...
doi:10.1007/978-3-642-54734-8_42
fatcat:qjwctg6imrahnobflnfqhh2d4m
A Nondominated Sorting Stochastic Fractal Search Algorithm for Multiobjective Distribution Network Reconfiguration with Distributed Generations
2021
Mathematical Problems in Engineering
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This paper aims to propose a new multiobjective algorithm for multiobjective distributed network reconfiguration (DNR) with the placements of distributed generation (DG) in radial distribution networks ...
Based on the comparison outcomes, the NSSFS algorithm obtained better solution quality than other multiobjective techniques, proving the effectiveness of NSSFS in dealing with the MODNR-DG problem. ...
[11] implemented the Interval Multiobjective Evolutionary Algorithm to optimize switching operations, power loss, bus voltage deviation, and current index. ...
doi:10.1155/2021/6638559
fatcat:72a3ob2vh5csxcmfpwxd3xwuti
Multiobjective optimization and decision making in engineering sciences
2021
Optimization and Engineering
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A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. ...
This special issue focuses on the intersection between engineering, multiple criteria decision making, multiobjective optimization, and data science. ...
An NSGA-II algorithm (Deb et al. 2002) coupled with scenario-based simulations is used to solve the problem. ...
doi:10.1007/s11081-021-09627-x
fatcat:dfc7uszwmjewbam3uyrrskkhce
Solution methods for the bi-objective (cost-coverage) unconstrained facility location problem with an illustrative example
2006
Annals of Operations Research
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We used the mathematical programming-based algorithm to identify unique tradeoff opportunities for the reconfiguration of the Colombian coffee supply network. ...
We designed an algorithm based on the Nondominated Sorting Genetic Algorithm; an algorithm based on the Pareto Archive Evolution Strategy; and an algorithm based on mathematical programming. ...
We designed two multiobjective evolutionary algorithms that approximate the Pareto optimal front (efficient frontier). ...
doi:10.1007/s10479-006-0061-4
fatcat:uj24iyohsbdfrdo72b4ejjddce
Reconfiguration of distribution systems to improve reliability and reduce power losses using Imperialist Competitive Algorithm
2017
Iranian Journal of Electrical and Electronic Engineering
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In this paper, a multi-objective framework is proposed for optimal network reconfiguration with objective functions of minimization of power losses, System Average Interruption Frequency Index (SAIFI), ...
In order to obtain the optimal configuration of power networks, their reconfiguration is formulated as a complex optimization problem with different objective functions and network operating constraints ...
in [3] proposed a multi-objective network reconfiguration problem based on Adaptive Genetic Algorithm (AGA). ...
doaj:6bfaea762a1440328963c3a0f096cba1
fatcat:4ry35sakn5h2bmtk26eyi3nwwy
Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework
2016
Ain Shams Engineering Journal
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This study presents an efficient algorithm for optimization of balanced and unbalanced radial distribution systems by a network reconfiguration and capacitor placement. ...
Network reconfiguration and capacitor placement are useful options applied to reduce power losses and to keep voltage profiles within permissible limits in distribution systems. ...
[14] propose a Pareto based optimal reconfiguration of power distribution systems by a Genetic Algorithm Based on NSGA-II. ...
doi:10.1016/j.asej.2015.11.018
fatcat:lb2m7gpfzvgqfgayvmz2wc42uu
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