Results 21 to 30 of about 4,928,656 (192)
Optimising a nonlinear utility function in multi-objective integer programming [PDF]
, 2012 In this paper we develop an algorithm to optimise a nonlinear utility function of multiple objectives over the integer efficient set. Our approach is based on identifying and updating bounds on the individual objectives as well as the optimal utility ...
A. Przybylski +22 more
core +2 more sources
A Hybrid Optimization Technique Using Exchange Market and Genetic Algorithms
IEEE Access, 2020 This paper proposes a hybrid optimization technique combining genetic and exchange market algorithms. These algorithms are two evolutionary algorithms that facilitate finding optimal solutions for different optimization problems.
Amirreza Jafari +3 more
doaj +1 more source
Evaluation of RPL’s Single Metric Objective Functions [PDF]
, 2017 In this paper, we evaluate the performance of RPL (IPv6 Routing Protocol for Low Power and Lossy Networks) based on the Objective Function being used to construct the Destination Oriented Directed Acyclic Graph (DODAG).
Alayed, Walaa +2 more
core +1 more source
Космические аппараты и технологии, 2020 Nowadays many modern industries depend on satellite technologies to a greater or lesser extent. To build such satellite communication systems it is necessary to have estimated parameters of high service quality, one including the information delay time ...
I. L. Krikunov, K. E. Gaipov
doaj +1 more source
The Journal of Engineering, 2019 The power factor can be enhanced in many ways, one of which is a capacitor installation to correct the power factor at a particular location. While power factor correction capacitors are commonly used in power systems to generate Mvar at the bus, this ...
Abdulaziz A. Al-Muhanna +1 more
doaj +1 more source
IEEE Access, 2020 Most current survey papers classify community detection methods into broad categories and do not draw clear boundaries between the specific techniques employed by these methods. We survey in this paper all fine-grained community detection categories, the
Kamal Taha
doaj +1 more source
Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem
IEEE Access, 2021 The maximal covering location problem attempts to locate a limited number of facilities in order to maximize the coverage over a set of demand nodes. This problem is NP-Hard and it has been often addressed by using metaheuristics, where the execution ...
Cynthia Porras +3 more
doaj +1 more source
Importance Sampling for Objetive Funtion Estimations in Neural Detector Traing Driven by Genetic Algorithms [PDF]
, 2010 To train Neural Networks (NNs) in a supervised way, estimations of an objective function must be carried out. The value of this function decreases as the training progresses and so, the number of test observations necessary for an accurate estimation has
C Andrieu +29 more
core +2 more sources
Non-Rigid Point Set Registration via Adaptive Weighted Objective Function
IEEE Access, 2018 Non-rigid point set registration is a fundamental problem in many fields related to computer vision, medical image processing, and pattern recognition. In this paper, we develop a new point set registration method by using an adaptive weighted objective ...
Changcai Yang +6 more
doaj +1 more source
Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
IEEE Access, 2020 Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
doaj +1 more source