Mike Preuss: Multimodal optimization by means of evolutionary algorithms
نویسندگان
چکیده
منابع مشابه
Portfolio Optimization by Means of Meta Heuristic Algorithms
Investment decision making is one of the key issues in financial management. Selecting the appropriate tools and techniques that can make optimal portfolio is one of the main objectives of the investment world. This study tries to optimize the decision making in stock selection or the optimization of the portfolio by means of the artificial colony of honey bee algorithm. To determine the effect...
متن کاملOptimal Triangulation by Means of Evolutionary Algorithms
Usually, three-dimensional objects cannot be scanned in one pass, but must be measured in a series of linear scans along parallel scan lines. Simple triangulation methods make use of the line structure of this kind of scans by keeping the scan lines fixed and calculating zig-zag paths between each pair of adjacent scan lines. The success of those strategies highly depends on the appropriate dir...
متن کاملEffect of Objective Function on the Optimization of Highway Vertical Alignment by Means of Metaheuristic Algorithms
The main purpose of this work is the comparison of several objective functions for optimization of the vertical alignment. To this end, after formulation of optimum vertical alignment problem based on different constraints, the objective function was considered as four forms including: 1) the sum of the absolute value of variance between the vertical alignment and the existing ground; 2) the su...
متن کاملEvolutionary Multimodal Optimization Revisited
We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have needed niching/sharing to ensure diversity. In this paper, we use a steady-state multiobjective algorithm which preserves diversity without niching to produce diverse sampling of the Pareto-front with significantly lower computati...
متن کاملA Bi-objective Stochastic Optimization Model for Humanitarian Relief Chain by Using Evolutionary Algorithms
Due to the increasing amount of natural disasters such as earthquakes and floods and unnatural disasters such as war and terrorist attacks, Humanitarian Relief Chain (HRC) is taken into consideration of most countries. Besides, this paper aims to contribute humanitarian relief chains under uncertainty. In this paper, we address a humanitarian logistics network design problem including local dis...
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: Genetic Programming and Evolvable Machines
سال: 2016
ISSN: 1389-2576,1573-7632
DOI: 10.1007/s10710-016-9272-x