Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization
نویسندگان
چکیده
منابع مشابه
A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization
Several constrained optimization problems have been adequately solved over the years thanks to advances in the metaheuristics area. In this paper, we evaluate a novel selfadaptive and auto-constructive metaheuristic called Drone Squadron Optimization (DSO) in solving constrained engineering design problems. This paper evaluates DSO with death penalty on three widely tested engineering design pr...
متن کاملAn adaptive single-point algorithm for global numerical optimization
This paper describes a novel algorithm for numerical optimization, called Simple Adaptive Climbing (SAC). SAC is a simple efficient single-point approach that does not require a careful fine-tunning of its two parameters. SAC algorithm shares many similarities with local optimization heuristics, such as random walk, gradient descent, and hill-climbing. SAC has a restarting mechanism, and a powe...
متن کاملAn Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization
Adaptation of control parameters, such as scaling factor (F), crossover rate (CR), and population size (NP), appropriately is one of the major problems of Differential Evolution (DE) literature. Well-designed adaptive or self-adaptive parameter control method can highly improve the performance of DE. Although there are many suggestions for adapting the control parameters, it is still a challeng...
متن کاملSelf Adaptive Artificial Bee Colony for Global Numerical Optimization
The ABC algorithm has been used in many practical cases and has demonstrated good convergence rate. It produces the new solution according to the stochastic variance process. In this process, the magnitudes of the perturbation are important since it can affect the new solution. In this paper, we propose a self adaptive artificial bee colony, called self adaptive ABC, for the global numerical op...
متن کاملA Meta-heuristic Algorithm for Global Numerical Optimization Problems inspired by Vortex in fluid physics
One of the most important issues in engineering is to find the optimal global points of the functions used. It is not easy to find such a point in some functions due to the reasons such as large number of dimensions or inability to derive them from the function. Also in engineering modeling, we do not have the relationships of many functions, but we can input and output them as a black box. The...
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: Neural Computing and Applications
سال: 2017
ISSN: 0941-0643,1433-3058
DOI: 10.1007/s00521-017-2881-3