Ara
Toplam kayıt 36, listelenen: 11-20
An Improved Vantage Point Bees Algorithm to Solve Combinatorial Optimization Problems from TSPLIB
(Wiley, 2021)
This paper presents an improved version of the Vantage Point Bees Algorithm
(VPBA-II), which is implemented to solve the Travelling Salesman Problem.
The Vantage Point Tree has been used to produce initial tour solutions ...
Combinatorial Bees Algorithm for Vehicle Routing Problem
(Wiley, 2021)
Vehicle routing problem (VRP) is a combinatorial optimization problem that
has been studied intensively for years. Although VRP can be solved using an
exact method for small instances, a more complex one will be impractical ...
Online Model Identification and Updating in Multi-Platform Pseudo-Dynamic Simulation of Steel Structures - Experimental Applications
(Taylor & Francis, 2021)
A new technique is proposed for online model identification and updating in
multi-platform pseudo-dynamic simulation of steel structures which brings
novelty through eliminating the need for optimization during the ...
Recommending Healthy Meal Plans by Optimising Nature-Inspired Many-Objective Diet Problem
(SAGE, 2021)
Healthy eating is an important issue affecting a large part of the world population, so human diets are
becoming increasingly popular, especially with the devastating consequences of Coronavirus Disease
(Covid-19). A ...
Electrical Size Reduction of Microstrip Antennas by Using Defected Ground Structures Composed of Complementary Split Ring Resonator
(Advanced Electromagnetics, 2021)
In this study the effects of using defected ground structures (DGS) composed of a
complementary split ring resonator (CSRR) and CSRR with dumbbell (CSRR-D) for rectangular microstrip
antennas are investigated. On this ...
Clustering Electricity Market Participants Via FRM Models
(IOS Press, 2020)
Collateral mechanism in the Electricity Market ensures the payments are executed on a timely manner; thus maintains
the continuous cash flow. In order to value collaterals, Takasbank, the authorized central settlement ...
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
(Elsevier, 2021)
Course timetables are often rendered infeasible due to unexpected changes in requirements and must be
repaired. Given an initial timetable, planners prefer a repaired timetable whose quality is worsened as little as
possible ...
Robust University Course Timetabling Problem Subject to Single and Multiple Disruptions
(Elsevier, 2020)
University course timetables are often finalized in stages, in between which, changes in the data make the earlier version infeasible. As each version is announced to the community, it is desirable to have a robust initial ...
Multi-Objective Simulated Annealing for Hyper-Parameter Optimization in Convolutional Neural Networks
(PeerJ, Inc., 2021)
In this study, we model a CNN hyper-parameter optimization problem as a
bi-criteria optimization problem, where the first objective being the classification
accuracy and the second objective being the computational ...
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
(The Institute of Electrical and Electronics Engineers, 2020)
The success of Convolutional Neural Networks is highly dependent on the selected architecture
and the hyper-parameters. The need for the automatic design of the networks is especially important
for complex architectures ...