𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Multi-objective rule mining using a chaotic particle swarm optimization algorithm

✍ Scribed by Bilal Alatas; Erhan Akin

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
210 KB
Volume
22
Category
Article
ISSN
0950-7051

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A multi-objective optimal power flow usi
A multi-objective optimal power flow using particle swarm optimization
✍ J. Hazra; A. K. Sinha πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 301 KB πŸ‘ 1 views

This paper presents a multi-objective optimal power flow technique using particle swarm optimization. Two conflicting objectives, generation cost, and environmental pollution are minimized simultaneously. A multiobjective particle swarm optimization method is used to solve this highly nonlinear and

Multi-objective highway alignment optimi
Multi-objective highway alignment optimization using a genetic algorithm
✍ Avijit Maji; Manoj K. Jha πŸ“‚ Article πŸ“… 2009 πŸ› Institute for Transportation Inc. 🌐 English βš– 167 KB πŸ‘ 2 views

## Abstract The available highway alignment optimization algorithms use the total cost as the objective function. This is a single objective optimization process. In this process, travel‐time, vehicle operation accident earthwork land acquisition and pavement construction costs are the basic compon

A novel strategy of pareto-optimal solut
A novel strategy of pareto-optimal solution searching in multi-objective particle swarm optimization (MOPSO)
✍ Junjie Yang; Jianzhong Zhou; Li Liu; Yinghai Li πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 525 KB

## a b s t r a c t In multi-objective particle swarm optimization (MOPSO) algorithms, finding the global optimal particle (gBest) for each particle of the swarm from a set of non-dominated solutions is very difficult yet an important problem for attaining convergence and diversity of solutions. Fir