Responsive threshold search based memetic algorithm for balanced minimum sum-of-squares clustering
From MaRDI portal
Publication:6071251
DOI10.1016/j.ins.2021.04.014MaRDI QIDQ6071251
Qing Zhou, Qinghua Wu, Jin-Kao Hao
Publication date: 23 November 2023
Published in: Information Sciences (Search for Journal in Brave)
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)
Cites Work
- Unnamed Item
- Unnamed Item
- Fast global \(k\)-means clustering based on local geometrical information
- The case for strategic oscillation
- A tabu search approach for the minimum sum-of-squares clustering problem
- Hybrid evolutionary search for the minimum sum coloring problem of graphs
- Heuristic search to the capacitated clustering problem
- New diagonal bundle method for clustering problems in large data sets
- A memetic algorithm based on reformulation local search for minimum sum-of-squares clustering in networks
- A novel bat algorithm based on cross boundary learning and uniform explosion strategy
- Adaptive feasible and infeasible tabu search for weighted vertex coloring
- Hybrid evolutionary search for the traveling repairman problem with profits
- Review of basic local searches for solving the minimum sum-of-squares clustering problem
- Iterated responsive threshold search for the quadratic multiple knapsack problem
- A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study
- Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems
- TTT plots: a perl program to create time-to-target plots
- A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
- Bi-objective memetic GP with dispersion-keeping Pareto evaluation for real-world regression
- Design of balanced MBA student teams
- Statement forNaval Research Logistics
- Tabu Thresholding: Improved Search by Nonmonotonic Trajectories
- J-MEANS: A new local search heuristic for minimum sum of squares clustering
This page was built for publication: Responsive threshold search based memetic algorithm for balanced minimum sum-of-squares clustering