Search alternatives:
algorithm its » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
algorithm its » algorithm _ (Expand Search), algorithm fa (Expand Search), algorithm goa (Expand Search)
-
1
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 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. …”
-
2
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 2024“…The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …”
-
3
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
Published 2024“…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …”
Get full text
-
4
Evaluation of transfer functions for punctured turbo codes
Published 2000“…A modified algorithm for evaluating transfer functions of turbo codes with punctured systematic bits is presented. …”
Get full text
Get full text
article -
5
Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023Subjects: Get full text
-
6
-
7
-
8
-
9
Application of Red Deer Algorithm in Optimizing Complex functions
Published 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. …”
Get full text
Get full text
-
10
ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …”
-
11
Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
Published 2005Get full text
Get full text
Get full text
Get full text
conferenceObject -
12
-
13
-
14
-
15
Improving the Secure Socket Layer Protocol by modifying its Authentication function
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
16
Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
Get full text
masterThesis -
17
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …”
Get full text
-
18
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. The optimization is applied to a formulated cost function that considers uncertainty, false alarms, and existing clutters. …”
Get full text
-
19
A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…Three objective functions are considered to minimize costs, noise pollutions, and the harassment caused by the establishment of a hub for people, a new objective that locates hubs in less populated areas. …”
-
20
An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
Published 2024“…The overlay structure – a unique logical tree – used to control access to the critical section maintains its consistency even when nodes fail. An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. …”