A comprehensive review of firefly algorithms
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that
has been applied in almost all areas of optimization, as well as engineering practice. Many …
has been applied in almost all areas of optimization, as well as engineering practice. Many …
Seeking multiple solutions: An updated survey on niching methods and their applications
Multimodal optimization (MMO) aiming to locate multiple optimal (or near-optimal) solutions
in a single simulation run has practical relevance to problem solving across many fields …
in a single simulation run has practical relevance to problem solving across many fields …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
N Lynn, PN Suganthan - Swarm and Evolutionary Computation, 2015 - Elsevier
This paper presents a comprehensive learning particle swarm optimization algorithm with
enhanced exploration and exploitation, named as “heterogeneous comprehensive learning …
enhanced exploration and exploitation, named as “heterogeneous comprehensive learning …
Evolutionary dynamic optimization: A survey of the state of the art
Optimization in dynamic environments is a challenging but important task since many real-
world optimization problems are changing over time. Evolutionary computation and swarm …
world optimization problems are changing over time. Evolutionary computation and swarm …
Particle swarm optimization: An overview
R Poli, J Kennedy, T Blackwell - Swarm intelligence, 2007 - Springer
Particle swarm optimization (PSO) has undergone many changes since its introduction in
1995. As researchers have learned about the technique, they have derived new versions …
1995. As researchers have learned about the technique, they have derived new versions …
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 …
Ant colony optimization with clustering for solving the dynamic location routing problem
Ant colony algorithm can resolve dynamic optimization problems due to its robustness and
adaptation. The aim of such algorithms in dynamic environments is no longer to find an …
adaptation. The aim of such algorithms in dynamic environments is no longer to find an …
Offline data-driven evolutionary optimization using selective surrogate ensembles
In solving many real-world optimization problems, neither mathematical functions nor
numerical simulations are available for evaluating the quality of candidate solutions. Instead …
numerical simulations are available for evaluating the quality of candidate solutions. Instead …