Abstract To improve the accuracy of wind power forecasting, improved ACA (Ant Colony Algorithm) is used to optimize GRU (Gated Recurrent Unit) model. First, original generation data normalized; Second, neural network model established, and ant colony algorithm it; Finally, optimized non-optimized are predict short-term output, prediction results compared verify that ACA-GRU has higher for output.

Recently, researchers in various fields have shown interest in the behavior of creatures from the viewpoint of adaptiveness and flexibility. Ants, known as social insects, exhibit collective behavior in performing tasks that can not be carried out by an individual ant. In ant colonies, chemical substances, called pheromones, are used as a way to communicate important information on global behav...

Ant-based algorithms are successful tools for solving complex problems. One of these problems is the Linear Ordering Problem (LOP). The paper shows new results on some LOP instances, using Ant Colony System (ACS) and the StepBack Sensitive Ant Model (SB-SAM).

This paper proposes an algorithm for data mining called Ant-Miner (ant-colony-based data miner). The goal of AntMiner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts as well as principles. We compare the performance of Ant-Miner with CN2, a well-known data mining algorithm for classificat...

C metric boxplots and real values Fig. 1. C metric values represented by means of boxplots comparing the different algorithms .

Published as a chapter in Approximation Algorithms and Metaheuristics, a book edited by T. F. Gonzalez.