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 …
A survey on evolutionary computation for complex continuous optimization
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …
development of the economy and society. Moreover, the technologies like Internet of things …
A survey of evolutionary continuous dynamic optimization over two decades—Part B
This article presents the second Part of a two-Part survey that reviews evolutionary dynamic
optimization (EDO) for single-objective unconstrained continuous problems over the last two …
optimization (EDO) for single-objective unconstrained continuous problems over the last two …
A survey of evolutionary continuous dynamic optimization over two decades—Part A
Many real-world optimization problems are dynamic. The field of dynamic optimization deals
with such problems where the search space changes over time. In this two-part article, we …
with such problems where the search space changes over time. In this two-part article, we …
Random neighbor elite guided differential evolution for global numerical optimization
Optimization problems not only become more and more ubiquitous in various fields, but also
become more and more difficult to optimize nowadays, which seriously challenge the …
become more and more difficult to optimize nowadays, which seriously challenge the …
Differential evolution with neighborhood and direction information for numerical optimization
Y Cai, J Wang - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
Differential evolution (DE) is a simple and powerful population-based evolutionary
algorithm, successfully used in various scientific and engineering fields. Although DE has …
algorithm, successfully used in various scientific and engineering fields. Although DE has …
A cluster-based differential evolution algorithm with external archive for optimization in dynamic environments
This paper presents a Cluster-based Dynamic Differential Evolution with external Ar chive
(CDDE_Ar) for global optimization in dynamic fitness landscape. The algorithm uses a …
(CDDE_Ar) for global optimization in dynamic fitness landscape. The algorithm uses a …
A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization
Optimization in dynamic environment is considered among prominent optimization
problems. There are particular challenges for optimization in dynamic environments, so that …
problems. There are particular challenges for optimization in dynamic environments, so that …
An artificial bee colony algorithm search guided by scale-free networks
Many optimization algorithms have adopted scale-free networks to improve the search
ability. However, most methods have merely changed their population topologies into those …
ability. However, most methods have merely changed their population topologies into those …