IEEE

Feature Selection Integrating Decision Importance Grouping and Particle Swarm Optimization

Abstract: Gene expression data typically exhibits the characteristics of high-dimensionality coupled with a small sample size, along with notable redundancy and high inter-feature correlations. These ...
IEEE

Chaotic Synchronization Control Based on State-Dependent Dynamic Activation Function and its Application to Secure Communication

Abstract: Chaos synchronization, a significant branch of nonlinear system control, holds broad application prospects, particularly in communication, security, and signal processing. However, ...
Scientific Research Publishing

Coello, C.A.C. (2011) An Introduction to Multi-Objective Particle Swarm Optimizers. In: Gaspar-Cunha, A., et al., Eds., Soft Computing in Industrial Applications, Springer, 3-12.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Scientific Research Publishing

Hatamlou, A. (2013) Black Hole: A New Heuristic Optimization Approach for Data Clustering. Information Sciences, 222, 175-184.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
GitHub

trungkiet2005/CSC14003-Search-Algorithms

Đồ án so sánh và phân tích các thuật toán Swarm Intelligence (Trí tuệ bầy đàn) với các thuật toán tối ưu truyền thống trên các bài toán tối ưu hóa liên tục và rời rạc. Algorithm Visualization: Phân ...
Microsoft

How we build robust-by-design algorithms

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...