Particle swarm optimisation: a historical review up to the current developments
The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …
behaviour of bird flocks searching for food sources. In this nature-based algorithm …
Parallel metaheuristics: recent advances and new trends
The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …
and needs that researchers have been encountering. In the last decade, new models of …
[PDF][PDF] Global optimization algorithms-theory and application
T Weise - Self-Published Thomas Weise, 2009 - researchgate.net
This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …
solutions for given problems. It especially focuses on Evolutionary Computation by …
Population topologies for particle swarm optimization and differential evolution
N Lynn, MZ Ali, PN Suganthan - Swarm and evolutionary computation, 2018 - Elsevier
Over the last few decades, many population-based swarm and evolutionary algorithms were
introduced in the literature. It is well known that population topology or sociometry plays an …
introduced in the literature. It is well known that population topology or sociometry plays an …
Enhancing differential evolution utilizing proximity-based mutation operators
MG Epitropakis, DK Tasoulis… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
Differential evolution is a very popular optimization algorithm and considerable research has
been devoted to the development of efficient search operators. Motivated by the different …
been devoted to the development of efficient search operators. Motivated by the different …
Introduction to cellular genetic algorithms
E Alba, B Dorronsoro - Cellular Genetic Algorithms, 2008 - Springer
Research in exact algorithms, heuristics and metaheuristics for solving combinatorial
optimization problems is nowadays highly on the rise. The main advantage of using exact …
optimization problems is nowadays highly on the rise. The main advantage of using exact …
Improving classical and decentralized differential evolution with new mutation operator and population topologies
B Dorronsoro, P Bouvry - IEEE Transactions on Evolutionary …, 2011 - ieeexplore.ieee.org
Differential evolution (DE) algorithms compose an efficient type of evolutionary algorithm
(EA) for the global optimization domain. Although it is well known that the population …
(EA) for the global optimization domain. Although it is well known that the population …
Parallel artificial bee colony (PABC) algorithm
H Narasimhan - 2009 World congress on nature & biologically …, 2009 - ieeexplore.ieee.org
The artificial bee colony (ABC) algorithm is a metaheuristic algorithm for numerical
optimization. It is based on the intelligent foraging behavior of honey bees. This paper …
optimization. It is based on the intelligent foraging behavior of honey bees. This paper …
Applications of particle swarm optimization in the railway domain
This paper provides a comprehensive review regarding the applications of particle swarm
optimization (PSO) in the railway domain. One hundred and thirty nine (139) publications in …
optimization (PSO) in the railway domain. One hundred and thirty nine (139) publications in …
Computational intelligence: an introduction
J Fulcher - Computational intelligence: a compendium, 2008 - Springer
The Artificial Intelligence field continues to be plagued by what can only be described as
'bold promises for the future syndrome', often perpetrated by researchers who should know …
'bold promises for the future syndrome', often perpetrated by researchers who should know …