Inverse problem of multiple parameters identification for water quality model using evolutionary algorithm;

Displacement back analysis of embankment dam based on neural network and evolutionary algorithm;

Application of evolutionary algorithm in nonlinear parameter estimation;

Survey on automatic structural test data generation using evolutionary algorithms;

Real factorization based on evolutionary algorithms;

The result shows that it is better than other existing evolutionary algorithms in search efficiency, range of applications, accuracy and robustness of solutions.

An evolution algorithm is designed for solving the partial ordering relation, by which an ideal method is obtained for calculation.

The basic principle of multi-object ive evolution algorithm is introduced, and the Pareto optimial-based evolutionary approach is discussed.

In this paper, we explain the performance of genetic algorithm based on permutation coding through experiments on Knapsack problems.

The multi-document summarizer using genetic algorithm-based sentence extraction(SBGA) regards summarization process as an optimization problem where the optimal summary is chosen among a set of summaries formed by the conjunction of the original articles sentences.

A concise summary is given on methods and characteristics in computational intelligence, of which simulated annealing algorithm, neural network, genetic algorithm, evolutional programming and taboo search algorithm are mainly discussed.

Self-tuning fuzzy control based on evolutionary computation;

Learning path creation and optimization based on evolutionary computation;

Due to its intrinsic parallelism and some intelligent properties, such as self-organizing, adaptation and self-learning, evolutionary computation has been applied successfully to artificial neural network.