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This paper presents an efficient generation alternation model for real-coded genetic algorithm called rc-CGA. The most important characteristic of the proposed rcCGA model is the implicitâ€¦ (More)

Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which has been successfully applied to combinatorial optimization problems. However, in the ACOâ€¦ (More)

- Pei Zhang, Rong-Long Wang, Chong-guang Wu, Kozo Okazaki
- 2006 International Conference on Machine Learningâ€¦
- 2006

In this paper, a learning algorithm of the Hopfield neural network, which can escape from local minimum, is proposed. The learning algorithm adjusts the balance between constraint term and cost termâ€¦ (More)

- Rong-Long Wang, Kozo Okazaki
- 2005 International Conference on Machine Learningâ€¦
- 2005

The objective of the minimum crossing number problem is to embed the edges of a graph so that the total number of crossings is minimized. This problem has important applications in printed circuitâ€¦ (More)

- Rong-Long Wang, Zheng Tang
- 2006

This paper proposes a gradient ascent learning algorithm of the Hopfield neural networks for solving fixed linear crossing number problem. The fixed linear crossing number problem is an importantâ€¦ (More)

- Fusakazu Matsushima, Motomi Matsunaga, Guang-Yuan Qian, Yuichiro Ohtaki, Rong-Long Wang, Kojiro Takagi
- Journal of molecular spectroscopy
- 2001

Frequencies of pure rotational transitions of D(2)O were measured in the region 0.5-5 THz with a high-precision far-infrared spectrometer using a tunable radiation source. Measured frequencies ofâ€¦ (More)

The goal of the minimum graph bisection problem is to divide the vertices set of the given undirected graph into two equal-size subsets and such that the number of edges connecting vertices in toâ€¦ (More)

This paper presents an ant colony optimization based algorithm to solve real parameter optimization problems. In the proposed method, an operation similar to the crossover of the genetic algorithm isâ€¦ (More)

- Fu-Ting Wang, Shougo Hatanaka, Rong-Long Wang
- 2016 3rd International Conference on Informationâ€¦
- 2016

In this paper, we present a novel binary neuron model called stochastic neuron model for the Hopfield neural network. In order to avoid the inherent local minima problem of the Hopfield neuralâ€¦ (More)

Backpropagation (BP) is one of the most widely used algorithms for training feed-forward neural networks. One critical drawback is that the BP easily falls into local minima. In this paper, weâ€¦ (More)