Seeding the initial population with feasible solutions in metaheuristic optimization of steel trusses

Author:

Kazemzadeh Azad Saeid1

Affiliation:

1. Atilim University, Department of Civil Engineering, Ankara, Turkey

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Reference23 articles.

1. Elsayed, S. M., R. A. Sarker, and D. L. Essam. 2012. “The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm.” Proceedings of the 9th International Conference on Simulated Evolution and Learning, Hanoi, Vietnam, December 16–19.

2. Seeding the initial population of multi-objective evolutionary algorithms: A computational study

3. An exponential big bang-big crunch algorithm for discrete design optimization of steel frames

4. Discrete size optimization of steel trusses using a refined big bang–big crunch algorithm

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