Multimodal optimization using a bi-objective evolutionary algorithm
K Deb, A Saha - Evolutionary computation, 2012 - direct.mit.edu
In a multimodal optimization task, the main purpose is to find multiple optimal solutions
(global and local), so that the user can have better knowledge about different optimal …
(global and local), so that the user can have better knowledge about different optimal …
Low-budget exploratory landscape analysis on multiple peaks models
P Kerschke, M Preuss, S Wessing… - Proceedings of the …, 2016 - dl.acm.org
When selecting the best suited algorithm for an unknown optimization problem, it is useful to
possess some a priori knowledge of the problem at hand. In the context of single-objective …
possess some a priori knowledge of the problem at hand. In the context of single-objective …
[图书][B] ContinuousMultimodal Global Optimization with Differential Evolution-Based Methods
J Rönkkönen - 2009 - lutpub.lut.fi
Metaheuristic methods have become increasingly popular approaches in solving global
optimization problems. From a practical viewpoint, it is often desirable to perform multimodal …
optimization problems. From a practical viewpoint, it is often desirable to perform multimodal …
Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach
K Deb, A Saha - Proceedings of the 12th annual conference on genetic …, 2010 - dl.acm.org
In a multimodal optimization task, the main purpose is to find multiple optimal (global and
local) solutions associated with a single objective function. Starting with the preselection …
local) solutions associated with a single objective function. Starting with the preselection …
A feature rich distance-based many-objective visualisable test problem generator
In optimiser analysis and design it is informative to visualise how a search point/population
moves through the design space over time. Visualisable distance-based many-objective …
moves through the design space over time. Visualisable distance-based many-objective …
[PDF][PDF] Two-stage methods for multimodal optimization
S Wessing - 2015 - eldorado.tu-dortmund.de
The need of obtaining a set of good solutions in contrast to a single globally optimal solution
of a multimodal problem is often mentioned in discussions of practical optimization [14, 1 …
of a multimodal problem is often mentioned in discussions of practical optimization [14, 1 …
An enhanced learning algorithm with a particle filter-based gradient descent optimizer method
P Kamsing, P Torteeka, S Yooyen - Neural Computing and Applications, 2020 - Springer
This experiment integrates a particle filter concept with a gradient descent optimizer to
reduce loss during iteration and obtains a particle filter-based gradient descent (PF-GD) …
reduce loss during iteration and obtains a particle filter-based gradient descent (PF-GD) …
Sequential design for computer experiments with a flexible Bayesian additive model
In computer experiments, a mathematical model implemented on a computer is used to
represent complex physical phenomena. These models, known as computer simulators …
represent complex physical phenomena. These models, known as computer simulators …
Using a self-adaptive neighborhood scheme with crowding replacement memory in genetic algorithm for multimodal optimization
S Kamyab, M Eftekhari - Swarm and Evolutionary Computation, 2013 - Elsevier
In this paper a new GA based niching method using a Self-adaptive Neighborhood scheme
with Crowding Replacement Memory (GA_SN_CM) for multimodal optimization is proposed …
with Crowding Replacement Memory (GA_SN_CM) for multimodal optimization is proposed …
How landscape ruggedness influences the performance of real-coded algorithms: a comparative study
J Marín - Soft Computing, 2012 - Springer
Ruggedness has a strong influence on the performance of algorithms, but it has been barely
studied in real-coded optimization, mainly because of the difficulty of isolating it from a …
studied in real-coded optimization, mainly because of the difficulty of isolating it from a …