Metaheuristic Optimization Algorithms and Civil Engineering
نویسندگان
چکیده
منابع مشابه
Three improved hybrid metaheuristic algorithms for engineering design optimization
This paper presents three hybrid metaheuristic algorithms that further improve the two hybrid differential evolution (DE) metaheuristic algorithms described in Liao [1]. The three improved algorithms are: (i) MDE′–HJ, which is a modification of MA–MDE′ in Liao [1] by replacing the random walk with direction exploitation local search with the Hooke and Jeeves (HJ) method; (ii) MDE′–IHS–HJ, which...
متن کاملPERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OF MIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS
Ant colony optimization algorithms (ACOs) have been basically introduced to discrete variable problems and applied to different research domains in several engineering fields. Meanwhile, abundant studies have been already involved to adapt different ant models to continuous search spaces. Assessments indicate competitive performance of ACOs on discrete or continuous domains. Therefore, as poten...
متن کاملParameter Meta-optimization of Metaheuristic Optimization Algorithms
Erklärung Hiermit erkläre ich an Eides statt, dass ich die vorliegende Arbeit selbstständig und ohne fremde Hilfe verfasst, andere als die angegebenen Quellen und Hilfsmit-tel nicht benutzt und die aus anderen Quellen entnommenen Stellen als solche gekennzeichnet habe. Abstract 1 Kurzfassung 2 1 Introduction 3 1.
متن کاملMetaheuristic Optimization: Nature-Inspired Algorithms and Applications
Turing’s pioneer work in heuristic search has inspired many generations of research in heuristic algorithms. In the last two decades, metaheuristic algorithms have attracted strong attention in scientific communities with significant developments, especially in areas concerning swarm intelligence based algorithms. In this work, we will briefly review some of the important achievements in metahe...
متن کاملAN EFFICIENT METAHEURISTIC ALGORITHM FOR ENGINEERING OPTIMIZATION: SOPT
Metaheuristic algorithms are well-known optimization tools which have been employed for solving a wide range of optimization problems so far. In the present study, a simple optimization (SOPT) algorithm with two main steps namely exploration and exploitation, is provided for practical applications. Aside from a reasonable rate of convergence attained, the ease in its implementation and dependen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Trends in Civil & Structural Engineering
سال: 2018
ISSN: 2643-6876
DOI: 10.33552/ctcse.2018.01.000502