Browsing by Subject "Algorismes genètics"
Now showing items 1-20 of 180
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A biased random key genetic algorithm for the weighted independent domination problem
(Association for Computing Machinery (ACM), 2019)
Conference lecture
Open AccessThis work deals with an NP-hard problem in graphs known as the weighted independent domination problem. We propose a biased random key genetic algorithm for solving this problem. The most important part of the proposed ... -
A biased random-key genetic algorithm for the capacitated minimum spanning tree problem
(2015-05)
Article
Open AccessThis paper focuses on the capacitated minimum spanning tree(CMST)problem.Given a central processor and a set of remote terminals with specified demands for traffic that must flow between the central processor and terminals,the ... -
A cluster head decision system for sensor networks using fuzzy logic and number of neighbor nodes
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
Conference report
Open AccessCluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network’s communication energy dissipation. However, the selection of cluster head is not ... -
A comparison study on meta-heuristics for ground station scheduling problem
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Conference report
Open AccessIn ground station scheduling problem the aim is to compute an optimal planning of communications between Spacecrafts (SCs) and operations teams of Ground Stations (GSs). While such allocation of tasks to ground stations ... -
A constraint programming-based genetic algorithm (CPGA) for capacity output optimization
(OmniaScience, 2014-12)
Article
Open AccessPurpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company. Design/methodology/approach: ... -
A data-science pipeline to enable the interpretability of many-objective feature selection
(CEUR-WS.org, 2024)
Conference lecture
Open AccessMany-Objective Feature Selection (MOFS) approaches use four or more objectives to determine the relevance of a subset of features in a supervised learning task. As a consequence, MOFS typically returns a large set of ... -
A distributed QoS Routing and CAC framework: performance evaluation of its SSRA and InterD Agents
(Institute of Electrical and Electronics Engineers (IEEE), 2007)
Conference report
Open AccessIn order to support multimedia communication, it is necessary to develop routing algorithms which use for routing more than one QoS parameters. This is because new services such as video on demand and remote meeting systems ... -
A GA(TS) hybrid algorithm for scheduling in computational grids
(Springer, 2009)
Conference report
Open AccessThe hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In this paper we present a hybridization of ... -
A GA-based simulation system for WMNs: comparison analysis for different number of flows, client distributions, DCF and EDCA functions
(Springer, 2017-02-04)
Article
Open AccessIn this paper, we compare the performance of Distributed Coordination Function (DCF) and Enhanced Distributed Channel Access (EDCA) for normal and uniform distributions of mesh clients considering two Wireless Mesh Network ... -
A GA-based simulation system for WMNs: performance analysis for different WMN architectures considering transmission rate and OLRS protocol
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Open AccessIn this paper, we evaluate the performance of two WMN architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3. We compare the performance for two architectures considering ... -
A game-theoretic and hybrid genetic meta-heuristics model for security-assured scheduling of independent jobs in computational grids
(Institute of Electrical and Electronics Engineers (IEEE), 2010)
Conference report
Open AccessScheduling independent tasks in Computational Grids commonly arises in many Grid-enabled large scale applications. Much of current research in this domain is focused on the improvement of the efficiency of the Grid schedulers, ... -
A genetic algorithm approach to optimization of power peaks in an automated warehouse
(IEEE Press. Institute of Electrical and Electronics Engineers, 2009)
Conference report
Open AccessThe simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated warehouse can increase the likelihood that high power demand peaks turn unstable the electric system. Furthermore, high ... -
A genetic algorithm optimized fractal model to predict the constriction resistance from surface roughness measurements
(2017-06-09)
Article
Open AccessThe electrical contact resistance greatly influences the thermal behavior of substation connectors and other electrical equipment. During the design stage of such electrical devices, it is essential to accurately predict ... -
A genetic algorithm-based system for Wireless Mesh Networks: analysis of system data considering different routing protocols and architectures
(Springer, 2016-07-01)
Article
Open AccessWireless mesh networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in ... -
A genetic programming approach for estimating economic sentiment in the Baltic countries and the European Union
(2021-01-18)
Article
Open AccessIn this study, we introduce a sentiment construction method based on the evolution of survey-based indicators. We make use of genetic algorithms to evolve qualitative expectations in order to generate country-specific ... -
A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in named data networking
(2015-03-03)
Article
Open AccessNamed Data Networking (NDN) is a promising network architecture being considered as a possible replacement for the current IP-based (host-centric) Internet infrastructure. NDN can overcome the fundamental limitations of ... -
A load balancing method for parallel genetic CFD optimizations
(2015)
Conference report
Restricted access - publisher's policyCFD optimizations are characterized by long and highly variable objective function evaluation times. The aim of this study is to improve the parallel performance using a new load balancing master-worker parallelization ... -
A multi-domain VNE algorithm based on load balancing in the IoT networks
(Springer, 2021-02-06)
Article
Open AccessThe coordinated development of big data, Internet of Things, cloud computing and other technologies has led to an exponential growth in Internet business. However, the traditional Internet architecture gradually shows a ... -
A multi-objective GA to demand-side management in an automated warehouse
(2009)
Conference report
Open AccessThe simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated warehouse can increase the likelihood that high power demand peaks turn unstable the electric system. Furthermore, high ... -
A new hybrid optimization method, application to a single objective active flow control test case
(Multidisciplinary Digital Publishing Institute, 2022-04-12)
Article
Open AccessGenetic Algorithms (GA) are useful optimization methods for exploration of the search space, but they usually have slowness problems to exploit and converge to the minimum. On the other hand, gradient based methods converge ...
