Computing with the collective intelligence of honey bees–a survey
Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …
Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design
Bayesian optimization methods have been successfully applied to black box optimization
problems that are expensive to evaluate. In this paper, we adapt the so-called super efficient …
problems that are expensive to evaluate. In this paper, we adapt the so-called super efficient …
A quick artificial bee colony (qABC) algorithm and its performance on optimization problems
Artificial bee colony (ABC) algorithm inspired by the foraging behaviour of the honey bees is
one of the most popular swarm intelligence based optimization techniques. Quick artificial …
one of the most popular swarm intelligence based optimization techniques. Quick artificial …
A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems
The original particle swarm optimization (PSO) is not able to tackle constrained optimization
problems (COPs) due to the absence of constraint handling techniques. Furthermore, most …
problems (COPs) due to the absence of constraint handling techniques. Furthermore, most …
On clarifying misconceptions when comparing variants of the artificial bee colony algorithm by offering a new implementation
Abstract Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
A novel differential evolution algorithm for solving constrained engineering optimization problems
AW Mohamed - Journal of Intelligent Manufacturing, 2018 - Springer
This paper introduces a novel differential evolution (DE) algorithm for solving constrained
engineering optimization problems called (NDE). The key idea of the proposed NDE is the …
engineering optimization problems called (NDE). The key idea of the proposed NDE is the …
Artificial bee colony algorithm: a survey
In recent years, swarm intelligence has proven its importance for the solution of those
problems that cannot be easily dealt with classical mathematical techniques. The foraging …
problems that cannot be easily dealt with classical mathematical techniques. The foraging …
Constrained optimization by radial basis function interpolation for high-dimensional expensive black-box problems with infeasible initial points
RG Regis - Engineering Optimization, 2014 - Taylor & Francis
This article develops two new algorithms for constrained expensive black-box optimization
that use radial basis function surrogates for the objective and constraint functions. These …
that use radial basis function surrogates for the objective and constraint functions. These …
A surrogate-assisted evolution strategy for constrained multi-objective optimization
R Datta, RG Regis - Expert Systems with Applications, 2016 - Elsevier
In many real-world optimization problems, several conflicting objectives must be achieved
and optimized simultaneously and the solutions are often required to satisfy certain …
and optimized simultaneously and the solutions are often required to satisfy certain …
A modified augmented Lagrangian with improved grey wolf optimization to constrained optimization problems
W Long, X Liang, S Cai, J Jiao, W Zhang - Neural Computing and …, 2017 - Springer
This paper presents a novel constrained optimization algorithm named MAL-IGWO, which
integrates the benefit of the improved grey wolf optimization (IGWO) capability for …
integrates the benefit of the improved grey wolf optimization (IGWO) capability for …