Memetic Computing
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
A novel multi-objective memetic algorithm based on opposition-based self-adaptive differential evolution
Memetic Computing - Tập 8 - Trang 147-165 - 2015
Under the framework of evolutionary paradigms, many evolutionary algorithms have been designed for handling multi-objective optimization problems. Each of the different algorithms may display exceptionally good performance in certain optimization problems, but none of them can be completely superior over one another. As such, different evolutionary algorithms are being synthesized to complement ea...... hiện toàn bộ
Offline data-driven optimization based on dual-scale surrogate ensemble
Memetic Computing - Tập 15 - Trang 139-154 - 2022
During offline optimization, real fitness evaluations cannot be obtained. Therefore, building high-quality surrogates based on the limited amount of offline data is crucial. Many ensemble surrogates are built by combining a number of models that are trained based on different subsampled data, and these weak models without characteristics lack interpretation. In this paper, we propose an adaptive d...... hiện toàn bộ
Parallel hyperheuristics for the frequency assignment problem
Memetic Computing - Tập 3 - Trang 33-49 - 2010
This work presents a set of approaches used to deal with the frequency assignment problem (FAP), which is one of the key issues in the design of GSM networks. The used formulation of FAP is focused on aspects which are relevant for real-world GSM networks. A memetic algorithm, together with the specifically designed local search and variation operators, are presented. The memetic algorithm obtains...... hiện toàn bộ
Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data
Memetic Computing - Tập 9 - Trang 129-139 - 2016
Extreme learning machine (ELM) not only is an effective classifier in supervised learning, but also can be applied on unsupervised learning and semi-supervised learning. The model structure of unsupervised extreme learning machine (US-ELM) and semi-supervised extreme learning machine (SS-ELM) are same as ELM, the difference between them is the cost function. We introduce kernel function to US-ELM ...... hiện toàn bộ
ACO classification of thermogram symmetry features for breast cancer diagnosis
Memetic Computing - Tập 6 - Trang 207-212 - 2014
Breast cancer is the most commonly diagnosed form of cancer in women. While mammography is the standard modality for detecting breast cancer, it has been shown that medical thermography, which uses cameras with sensitivities in the thermal infrared, is also well suited for the task, especially in dense tissue and for small tumors. In this paper, we present an approach of analysing breast thermogra...... hiện toàn bộ
Solving the routing and wavelength assignment problem with a multilevel distributed memetic algorithm
Memetic Computing - Tập 1 - Trang 101-123 - 2009
The Routing and Wavelength Assignment problem is a graph optimization problem which deals with optical networks, where communication requests in a network have to be fulfilled. In this paper, we present a multilevel distributed memetic algorithm (ML-DMA) for the static RWA which finds provable optimal solutions for most benchmark instances with known lower bounds and is capable of handling large i...... hiện toàn bộ
Chemical Reaction Optimization: a tutorial
Memetic Computing - Tập 4 - Trang 3-17 - 2012
Chemical Reaction Optimization (CRO) is a recently established metaheuristics for optimization, inspired by the nature of chemical reactions. A chemical reaction is a natural process of transforming the unstable substances to the stable ones. In microscopic view, a chemical reaction starts with some unstable molecules with excessive energy. The molecules interact with each other through a sequence...... hiện toàn bộ
Multi-objective memetic algorithm for core-periphery structure detection in complex network
Memetic Computing - Tập 13 - Trang 285-306 - 2021
Core-periphery structure detection (CPSD) in complex networks is essential to reveal functional nodes in the complicated systems, e.g., influential nodes in a social network and central cells in a biological network. Some progress has been made in solving the CPSD problem with heuristic algorithms. However, CPSD is naturally an NP-hard optimization problem and the core-periphery structures (CPSs) ...... hiện toàn bộ
Tổng số: 277
- 1
- 2
- 3
- 4
- 5
- 6
- 10