Randolph_Lee的博客

Three different crossover for the sequence encoding

# -*- coding: utf-8 -*-"""Created on 2017/4/5 9:52 2017@author: Randolph.Lee"""from __future__ import divisionfrom pybrain.structure import *from Evaluation_metrics import *from Threshold_fun

Threshold function is a common practice in multi-label learning to return as the learned model. In this case, in order to decide the proper label set for unseen instance, the real-valued ouput f(x, y)

ML-kNN is adjusted for the multi-label learning tasks by introducing the maximum post probability to the prediction of unseen instances' labels. It is a lazy learning algorithm, and belong to the algo

Traditional supervised learning is one of the mostly-studied machine learning paradigms, where each object is represented by a single feature vector and associated with a single label. The fundamental

Simulated Annealing is an optimization algorithm that simulates the annealing process in the thermodynamics energetics. The basic ideas is that any object will go through the state transition from the high temperature to the low one. And accordingly the in

Binary ACO is a modification of TACO. It is a good and efficient approach for feature selection because of simple search rules.

Tabu search is a good intelligent algorithm

Pruffer encoding scheme is a wonderful technique for solving the minimum spanning tree through the genetic algorithm. It can avoid the complex representation of tree in the algorithm. In general, for a m-node tree, just m-2 bits is required in the chromoso

Group genetic algorithm was proposed based on the weaknesses of GA applied to the grouping problems. The crossover operation is the biggest difference. Here I give the basic example and the corresponding codes.

ACO algorithm is originally inspired by social behavior of ant colonies, which is a branch of newly developed form of artificial intelligence called Swarm Intelligence (SI). Although ants have no si

Particle swarm optimization (PSO) (Kennedy & Eberhart, 1995) is an emerging population-based meta-heuristic that simulates social behavior such as birds flocking to a promising position to achieve pre