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 …
Ensemble of differential evolution variants
Differential evolution (DE) is one of the most popular and efficient evolutionary algorithms for
numerical optimization and it has gained much success in a series of academic benchmark …
numerical optimization and it has gained much success in a series of academic benchmark …
Ensemble strategies for population-based optimization algorithms–A survey
In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …
quality of the solutions depends heavily on the selection of algorithms, strategies and …
An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization
W Long, J Jiao, X Liang, M Tang - Engineering Applications of Artificial …, 2018 - Elsevier
Grey wolf optimizer (GWO) algorithm is a relatively novel population-based optimization
technique that has the advantage of less control parameters, strong global optimization …
technique that has the advantage of less control parameters, strong global optimization …
Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things
Z Cui, Y Cao, X Cai, J Cai, J Chen - Journal of Parallel and Distributed …, 2019 - Elsevier
Big data sensing system (BDSS) plays an important role in the Internet of Things, in which
how to reduce power consumption is one crucial problem. Currently, low energy adaptive …
how to reduce power consumption is one crucial problem. Currently, low energy adaptive …
A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber–physical systems
Wireless sensor network (WSN) is an important component of a cyber–physical system.
Locating node information is a crucial problem for WSN. Currently, distance vector-hop …
Locating node information is a crucial problem for WSN. Currently, distance vector-hop …
Improving artificial bee colony algorithm using a new neighborhood selection mechanism
Artificial bee colony (ABC) and its most modifications use a probability method to select
good food sources (called solutions) in the onlooker bee search phase. However, the …
good food sources (called solutions) in the onlooker bee search phase. However, the …
Chaotic gravitational constants for the gravitational search algorithm
S Mirjalili, AH Gandomi - Applied soft computing, 2017 - Elsevier
In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …
Ensemble particle swarm optimizer
N Lynn, PN Suganthan - Applied Soft Computing, 2017 - Elsevier
Abstract According to the “No Free Lunch (NFL)” theorem, there is no single optimization
algorithm to solve every problem effectively and efficiently. Different algorithms possess …
algorithm to solve every problem effectively and efficiently. Different algorithms possess …
Multi-strategy ensemble grey wolf optimizer and its application to feature selection
To overcome the limitation of single search strategy of grey wolf optimizer (GWO) in solving
various function optimization problems, we propose a multi-strategy ensemble GWO …
various function optimization problems, we propose a multi-strategy ensemble GWO …