-
181
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. …”
Get full text
Get full text
-
182
Stochastic evolution algorithm for technology mapping
Published 1998“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …”
Get full text
Get full text
article -
183
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006“…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
Get full text
article -
184
An evolutionary algorithm for network topology design
Published 2001“…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …”
Get full text
Get full text
article -
185
An improved Dragonfly Algorithm for feature selection
Published 2020“…Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. …”
Get full text
Get full text
-
186
-
187
Scalable Parallel Algorithms for FPT Problems
Published 2006“…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …”
Get full text
Get full text
Get full text
article -
188
-
189
A clustering metaheuristic for large orienteering problems
Published 2022“…The metaheuristic starts by decomposing the problem into smaller, independent sub-problems that are efficiently solved using an algorithm of choice, sequentially or in parallel. The obtained solutions are then merged to form a solution for the original problem, and then further optimized and processed to ensure feasibility. …”
-
190
Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg...
Published 2023“…<p dir="ltr">Coordinated energy scheduling and management strategies in the energy hub plan are essential to achieve optimal economic performance. In this paper, the scheduling and management framework of an energy hub (EH) is presented with the aim of energy profit maximization in partnership with electricity, natural gas, and district heating networks (EGHNs) considering the coordinated multi-energy management based on the day-ahead market. …”
-
191
DRL-Based IRS-Assisted Secure Visible Light Communications
Published 2022“…The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. …”
-
192
Optimizing clopidogrel dose response
Published 2016“…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …”
Get full text
Get full text
Get full text
Get full text
article -
193
Optimization metaheuristic for software testing
Published 2013“…In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
194
Analysis of Multi-User-Based UAV System With Outdated CSI
Published 2024“…In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. Optimization of UAV location and altitude is performed through a limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) algorithm to attain minimum OP (MOP). …”
-
195
Recent Versions and Applications of Sparrow Search Algorithm
Published 2023“…This paper reviews the latest versions and applications of sparrow search algorithm (SSA). It is a recent swarm-based algorithm proposed in 2020 rapidly grew due to its simple and optimistic features. …”
Get full text
Get full text
-
196
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Get full text
doctoralThesis -
197
-
198
A Recent Advances of Bat-inspired Algorithm
Published 2022“…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …”
Get full text
Get full text
-
199
Artificial neural network algorithms. (c1999)
Published 1999Get full text
Get full text
masterThesis -
200
Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
Published 2022“…The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. …”
Get full text
