Design Optimization and Applications in Civil Engineering

Страна: N/A

Город: N/A

Тезисы до: 31.08.2016

Даты: 31.08.16 — 31.08.16

Область наук: Технические;

Е-мейл Оргкомитета: x.yang@mdx.ac.uk)

Организаторы: KSCE Journal of Civil Engineering

 

This open call invites researchers to submit papers for a Special Issue to be published in February, 2017.

Aims and Scope of this call:

Many design optimization problems in civil engineering are highly nonlinear subject to stringent, complex constraints. Thus, sophisticated optimization methods are needed to find solutions to such challenging optimization problems. One of the main goals of a civil engineer is to find a balanced design in terms of economy, security and practicality. For such reasons, optimization is an active research area with an increasing number of publications and interests, and researchers usually try to find better solutions than the previous existing solutions to the same type of problem in the literature. In most research activities, researchers strive to develop new approaches to solve existing challenging problems or try to explore new design topics by using appropriate design methods. In recent years, one of the main trends for new and alternative methods is to use nature-inspired metaheuristic algorithms for solving challenging optimization problems. Generally speaking, these metaheuristic optimization algorithms are simple and versatile, and yet flexible and efficient enough to deal with highly complex design problems. T

his Special Issue of the KSCE Journal of Civil Engineering aims to provide a timely review of the latest developments concerning novel optimization methods and new applications in civil engineering. The focus will be on novel approaches, new methods, new design applications and cross-disciplinary applications.

Researchers are invited to submit their latest research on the following topics (but not limited to):
• New and novel approaches and methods for solving optimization problems
• Evolutionary algorithms, metaheuristic techniques, bio-inspired computing
• Swarm intelligence, fuzzy methods, hybrid methods in soft computing
• New applications and new designs in civil engineering
• New research in any areas closely related to optimization and engineering designs

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