Computer-aided pipeline operation using genetic algorithms and rule learning. PART I: Genetic algorithms in pipeline optimization

In this two-paper series, techniques connected with artificial intelligence and genetics are applied to achieve computer-based control of gas pipeline systems. In this, the first paper, genetic algorithms are developed and applied to the...

DE Goldberg - 《Engineering with Computers》

Computer-aided pipeline operation using genetic algorithms and rule learning. PART I: Genetic algorithms in pipeline optimization

In this two-paper series, techniques connected with artificial intelligence and genetics are applied to achieve computer-based control of gas pipeline systems. In this, the first paper, genetic algorithms are developed and applied to the...

DE Goldberg

Using genetic algorithms in engineering design optimization with non-linear constraints

CiteSeerX - Scientific documents that cite the following paper: Using genetic algorithms in engineering design optimization with non-linear constraints

D Powell，M.M. Skolnick - Morgan Kaufmann Publishers Inc.

Genetic algorithms and their applications : proceedings of the second International Conference on Genetic Algorithms : July 28-31, 1987 at the Massachusetts Institute of Technology, Cambridge, MA

Genetic Algorithms and Their Applications: "Proceedings of the Second International Conference on Genetic Algorithms : July 28-31, 1987 at the Massachusetts Institute of Technology, Cambridge, Ma" - 1987, Page 169 by James Edward Baker, ...

JJ Grefenstette，Naval Research Laboratory (U.S.)，B Bolt - L. Erlbaum Associates

Multi-objective optimization by genetic algorithms: A review

The paper reviews several genetic algorithm (GA) approaches to multi objective optimization problems (MOPs). The keynote point of GAs to MOPs is designing ...

H Tamaki，H Kita，S Kobayashi - IEEE International Conference on Evolutionary Computation

Differential Evolution versus Genetic Algorithms in Multiobjective Optimization

Summary: This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variants DEMO$^{\text{NS-II}}$, DEMO$^{\text{SP2}}$ and...

T Tusar，B Filipic - Evolutionary Multi-criterion Optimization, International Conference, Emo, Matsushima, Japan, March

Genetic Algorithms & Engineering Optimization (Book).

Reviews the book 'Genetic Algorithms and Engineering Optimization,' by Mitsuo Gen and Runwei Cheng.

Pardalos，Panos，M. - 《Siam Review》

Solving Large Parameter Optimization Problems Using Genetic Algorithms

This study aims to analyse the general outlines of the problems that contemporary Turkish society is faced with on the road to democratisation. Turkey has, for some time, been going through an intense and continuous transformation which ...

K Krishnakumar，R Swaminathan，S Garg，... - Paris 8

Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

Modal strain energy (MSE) is a sensitive physical property that can be utilized as a damage index in structural health monitoring. Inverse problem solving-...

YJ Cha，O Buyukozturk - 《Computer Aided Civil & Infrastructure Engineering》

Economic optimization of river management using genetic algorithms.

Purpose ‐ This paper aims to focus on the trade-off between losses and converter cost. Design/methodology/approach ‐ The continual development of power e...

H Fahmy，P King，M Wentzel，... - American Society of Agricultural Engineers Meeting