بدائل البحث:
most function » cost function (توسيع البحث), taste function (توسيع البحث)
algorithm fa » algorithm _ (توسيع البحث), algorithms a (توسيع البحث), algorithms _ (توسيع البحث)
algorithm a » algorithms a (توسيع البحث), algorithm _ (توسيع البحث), algorithm goa (توسيع البحث)
a function » _ functional (توسيع البحث)
most function » cost function (توسيع البحث), taste function (توسيع البحث)
algorithm fa » algorithm _ (توسيع البحث), algorithms a (توسيع البحث), algorithms _ (توسيع البحث)
algorithm a » algorithms a (توسيع البحث), algorithm _ (توسيع البحث), algorithm goa (توسيع البحث)
a function » _ functional (توسيع البحث)
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1
Iterative Least Squares Functional Networks Classifier
منشور في 2007"…The performance of this new intelligent systems scheme is demonstrated and examined using real-world applications. A comparative study with the most common classification algorithms in both machine learning and statistics communities is carried out. …"
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article -
2
Salp swarm algorithm: survey, analysis, and new applications
منشور في 2024"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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3
Radial basis function networks for contingency analysis of bulkpower systems
منشور في 1999"…The performance of the RBFN is compared with a standard AC load flow algorithm…"
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article -
4
A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020"…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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article -
5
From Collatz Conjecture to chaos and hash function
منشور في 2023"…By incorporating the Collatz process and carefully considering key-controlled variables, the proposed model aims to offer enhanced security properties while meeting the necessary criteria for a reliable and effective hashing mechanism. The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
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6
Evolution Of Activation Functions for Neural Architecture Search
منشور في 2020"…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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masterThesis -
7
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021"…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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8
Improving the Secure Socket Layer Protocol by modifying its Authentication function
منشور في 2017"…It is used to allow the client to identify the server and optionally allow the server to identify the client. The most common cryptographic algorithm used for this function is RSA. …"
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conferenceObject -
9
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10
New enumeration algorithm for regular boolean functions
منشور في 2018"…This paper introduces a new algorithm for enumerating regular Boolean functions. …"
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conferenceObject -
11
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
منشور في 2020"…The termevolutionary algorithmis used to refer to any probabilistic algorithmwhose design is inspired by evolutionary mechanisms found in biological species. Most widely known algorithms of this category are genetic algorithms (GA). …"
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article -
12
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …"
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13
Belief selection in point-based planning algorithms for POMDPs
منشور في 2017"…Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values of a specially selected set of points. …"
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conferenceObject -
14
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …"
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article -
15
A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
منشور في 2012"…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …"
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article -
16
Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
17
Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
منشور في 1997"…We assume a hypercube multicomputer architecture in most experiments. …"
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article -
18
Mobile robots obstacles avoidance using dynamic window approach
منشور في 2018احصل على النص الكامل
doctoralThesis -
19
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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20
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
منشور في 2023"…Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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