Learning based Optimization Algorithm
A New Variant of Teaching Learning Based Optimization Algorithm for Global Optimization Problems
... proposed algorithm obtains higher accuracy rate ...TLBO-TS algorithm to deal with problem of simultaneous selection and scheduling of projects ...TLBO-TS algorithm provides faster convergence than ...
12
Solving the Grid Connected Microgrid Operation by Teaching Learning Based Optimization Algorithm
... operation of microgrid are investigated in [6]. Same authors designed a DC/DC boost converter for the grid-connected operation of the microgrid in [7]. In [8-11] microgrid in the grid-connected mode is solved by several ...
11
An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems Pages 535-560 Download PDF
... population based algorithms is a research field which simulates different natural phenomena to solve a wide range of ...Teaching-Learning-based optimization (TLBO) is one of the recently ...
26
Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems Pages 29-50 Download PDF
... TLBO algorithm with other evolutionary and swarm intelligence based ...other optimization algorithms. However, in general, the algorithm which requires less number of function evaluations to ...
22
A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems Pages 1-22 Download PDF
... This algorithm uses a fixed size external archive to keep the best non- dominated solutions that it has found so ...proposed algorithm an ε-dominance method is used to maintain the ...multi-objective ...
22
Hub location Allocation Problem in Computer Networks Using Intelligent Optimization Algorithms
... nodes. Optimization algorithms such as TBLO, ICA and PSO were discussed as alternative approaches in this ...by optimization algorithms such as teaching and learning based optimization, ...
8
NUMERICAL FUNCTION OPTIMIZATION: MODEL, PROCEDURE AND USES
... the algorithm to escape from that point in the latter ...Teaching, learning based optimization algorithm (RTLBO) is proposed to overcome above mentioned drawback of the existing TLBO ...
5
A Hybrid Optimization Algorithm for Bayesian Network Structure Learning Based on Database
... hybrid optimization algorithm for Bayesian network structure learning from large ...swarm optimization (PSO) and genetic algorithm (GA) for score- search, which can repair the search ...
5
The estimation of flood quantiles in ungauged sites using teaching-learning based optimization and artificial bee colony algorithms
... region. Based on the appropriate distribution for the region, ood quantiles were estimated for return periods of T = 5; 10; 25; 50; 100, and 500 ...Colony algorithm (ABC) and Teaching-Learning ...
14
Fault Detection using Unsupervised Feature Learning on Big Data Based on Improved Weighted SoftMax Regression with Jaya Optimization
... agenda based fault diagnosis by enduring the concerns presented by data inequity ...two-stage algorithm has been propose by Costa [24]. The work is fully based on the assessment of specific features ...
12
A PBIL for load balancing in network coding based multicasting
... Population based incremental learning (PBIL) is an estimation of distribution algorithm, incorporating competitive learning concept into evolutionary ...the algorithm has been applied ...
11
BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION
... swarm optimization algorithm, which combines the idea of simulated annealing algorithm and opposition-based learning strategy, is presented for NP-hard protein structure prediction ...
7
A trust-aware task allocation method using deep q-learning for uncertain mobile crowdsourcing
... effective learning algorithm has been proposed to process dynamic Trust aware Task Allocations (TTA) in uncertain mobile crowdsourcing ...TTA optimization problem, which aims at maximizing trust ...
27
A Review on Clustering Analysis based on Optimization Algorithm for Datamining
... research based criteria. The clustering is belongs to the unsupervised learning in which teacher is ...K-mean algorithm is ...K-mean algorithm has some drawback like it will not find the ...
6
A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)
... ABC) Algorithm for Continuous Optimization ...(ABC) algorithm to progress its local search ability and convergence ...Crossover based ABC (CbABC) which integrates crossover operation from ...
6
Accelerating the image processing by the optimization strategy for deep learning algorithm DBN
... deep learning approach for spatiotempo- ral prediction of remote sensing ...deep learning model shows a strong ability for learning and generalization of remote sensing data and can better facilitate ...
8
Probit Based Grey Wolf Optimal Route Path Discovery In Internet Of Vehicles
... genetic algorithm was proposed [13] for solving the vehicle routing ...(GAS)[17] algorithm was designed for increasing the transmission efficiency with minimum delay and packet ...nonparametric ...
10
Multi indicators Multi objective Evolutionary Algorithm with Q Learning for Real world Network Optimization
... In multi-objective optimizations, a final solution set is usually evaluated according to a variety of indicators. Different indicators can access different aspects of the obtained solutions, e.g., the diversity and ...
10
A PBIL for load balancing in network coding based multicasting
... Abstract. One of the most important issues in multicast is how to achieve a balanced traffic load within a communications network. In the context of mul- ticast with network coding, this paper formulates a load balancing ...
11
Service-oriented disassembly sequence planning for electrical and electronic equipment waste
... nor optimization algorithms offered a satisfactory solution for this multi-objective disassembly ...teaching-learning-based optimization (MTLBO) algorithm to find the Pareto- optimal ...
29