Nature-inspired algorithms can be used as a learning method in the ANN model. In contrast to that, an ANN can also be used as an objective function to a nature-inspired algorithm to improve its capability to generate an optimal solution. This chapter aims to explore both approaches in ...
Nature-inspired computation has become popular in engineering applications and nature-inspired algorithms tend to be simple and flexible and yet sufficiently efficient to deal with highly nonlinear optimization problems. In this chapter, we first review
A Metaheuristic Optimization Algorithm refers to a family of methods used in computer science that aim to find a global optimum by repeatedly evaluating the objective function without relying on gradient information. These algorithms, such as evolutionary algorithms, particle swarm optimization, and simula...
learning algorithms include Linear Regression (LR), Logistic Regression (LogR), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Naive Bayes (NB), Gradient Boosting (GB), Decision Tree (DT), Random Forest (RF), k-Nearest Neighbor (k-NN), Artificial Neural Network (ANN), ...
algorithms devised so far. Here, we propose a novel biologically inspired optimizer for artificial and spiking neural networks that incorporates key principles of synaptic plasticity observed in cortical dendrites: GRAPES (Group Responsibility for Adjusting the Propagation of Error Signals). GRAPES ...
Acceleration of Genetic Algorithms using Artificial Neural Networks—Theoretical Background Acceleration of Genetic Algorithms Using Artificial Neural Networks - Theoretical Background, Genetic Algorithms for Optimization in Aerodynamics and Turbomachinery ... KC Giannakoglou 被引量: 24发表: 2000年 THE USE ...
The main advantages of these algorithms in comparison to mathematical techniques are easy implementation, flexibility, robustness, and computational efficiency40,41,42,43. ANFIS controllers are used to control multi-input, single-output, and non-linear systems. The ANFIS controller has the advantages ...
The central task in both of these steps is to assign attendees to a single seat at each table. This is done by using a network flow algorithm. Network flow algorithms are readily available in a number of programming languages and run very quickly. ...
Extensive simulation comparison experiments are carried out on the proposed algorithm with the other four common algorithms in Section 6. Our conclusions are summarized in Section 7. 3. Problem Description 3.1. Problem Definition The focus of this study is the path-planning problem in a time-...
Premaratne U, Samarabandu J, Sidhu T (2009) A new biologically inspired optimization algorithm. In: 2009 international conference on industrial and information systems (ICIIS). IEEE, pp 279–284 Jung SH (2003) Queen-bee evolution for genetic algorithms. Electron Lett 39(6):575–576 ...