The improved pigeon-inspired optimization (IPIO) approach is applied to optimize the initial weights and thresholds of extreme learning machine (ELM) and then the modified ELM (MELM) is employed to forecast the subseries respectively.
In this paper, we propose an improved pigeon-inspired optimization (IPIO) algorithm towards resolving this problem. The algorithm uses an object-based ...
In this paper, we propose an improved pigeon-inspired optimization (IPIO) algorithm towards resolving this problem. The algorithm uses an object-based ...
Jun 2, 2017 · for Clustering Analysis Problems ... In this paper, we propose an improved pigeon-inspired optimization (IPIO) algorithm towards resolving this ...
TL;DR: An improved pigeon-inspired optimization (IPIO) algorithm is proposed that uses an object-based initialization method to generate the initial ...
Oct 15, 2019 · An improved PIO algorithm (IPIO) is proposed by introducing the particle swarm optimisation (PSO) algorithm, an inverse factor, and a Gaussian factor into the�...
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Jun 21, 2024 · The techniques that combine intelligent optimisation algorithms and AVO inversion provide an effective identification method for oil and gas ...
Pigeon-inspired optimization is improved through using particle swarm optimization. •. Extreme learning machine is modified by pigeon-inspired optimization.
The techniques that combine intelligent optimisation algorithms and AVO inversion provide an effective identification method for oil and gas exploration.
Multi-objective clustering analysis via combinatorial pigeon inspired ...
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May 20, 2020 · A combinatorial multi-objective pigeon inspired optimization (CMOPIO) with ring topology is proposed to solve the clustering problem in this paper.