Python chasebk/EO_CNN Star13 Code Issues Pull requests EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction genetic-algorithmconvolutional-neural-networkrecurrent-neural-networkwhale-optimization-algorithmsatin-bowerbird-optimizerlife-choice-based-optimizermulti-...
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and
Pet dogs are our good friends. Realizing the dog’s emotions through the dog's facial expressions is beneficial to the harmonious coexistence between human beings and pet dogs. This paper describes a study on dog facial expression recognition using convo
the Gannet Optimization Algorithm (GOA) [37] a numerical model was constructed based on the unique behavior of gannets during foraging. Although these algorithms have good convergence speed and accuracy, they fall into local optimization in some high-dimensional problems and are more sensitive to ...
The DolBat algorithm with COCOMO II model provides the better coefficient value. To estimate the effort of software applications by using dolphin algorithm need to be enhanced. In 2020, Sharmaand Chaudhary, [16] presented a python-based software cost estimation using genetic algorithm. The enhanced...
combinatorial testing; whale optimization algorithm; harmony search algorithm; grey wolf optimization; evolutionary algorithms; metaheuristics algorithms; test suite optimization; software testing1. Introduction In order to avoid customer complaints, software testing ensures that products meet the user’s needs...
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Alg...
Artificial Neural Networks (ANNs) are popular realizations of such deep multilayer hierarchies, acting as highly non-linear parametric mappings from the input to the output space, with parameters (“weights”) determined by the optimization of some objective function (“cost”). This optimization is...
R. et al. Protein crystallization by surface entropy reduction: optimization of the SER strategy. Acta Crystallogr D Biol Crystallogr 63, 636–645, https://doi.org/10.1107/S0907444907010931 (2007). 53. Derewenda, Z. S. & Vekilov, P. G. Entropy and surface engineering in protein ...
R. et al. Protein crystallization by surface entropy reduction: optimization of the SER strategy. Acta Crystallogr D Biol Crystallogr 63, 636–645, https://doi.org/10.1107/S0907444907010931 (2007). 53. Derewenda, Z. S. & Vekilov, P. G. Entropy and surface engineering in protein ...