Back analysis of microplane model parameters using soft computing methods

Bayesian Optimisation Algorithm for Nurse Scheduling

Behavior and performance of the deep belief networks on image classification

Between theory and practice: guidelines for an optimization scheme with genetic algorithms - Part I: single-objective continuous global optimization

Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator

Biologically inspired design framework for Robot in Dynamic Environments using Framsticks

Biologically Inspired Design Principles for Scalable, Robust, Adaptive, Decentralized Search and Automated Response (RADAR)

Biology of Applied Digital Ecosystems

Boolean Networks Design by Genetic Algorithms

Bottleneck of using single memristor as a synapse and its solution

Building Better Nurse Scheduling Algorithms

Building Blocks Propagation in Quantum-Inspired Genetic Algorithm