Recent advances in differential evolution–an updated survey
Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
Review of differential evolution population size
AP Piotrowski - Swarm and Evolutionary Computation, 2017 - Elsevier
Abstract Population size of Differential Evolution (DE) algorithms is often specified by user
and remains fixed during run. During the first decade since the introduction of DE the …
and remains fixed during run. During the first decade since the introduction of DE the …
Differential evolution with adaptive mechanism of population size according to current population diversity
R Poláková, J Tvrdík, P Bujok - Swarm and Evolutionary Computation, 2019 - Elsevier
A new mechanism for the adaptation of the population size in differential evolution (DE) is
described. The adaptive mechanism is based on linear reduction of the population diversity …
described. The adaptive mechanism is based on linear reduction of the population diversity …
Energy efficient clustering protocol based on improved metaheuristic in wireless sensor networks
Energy efficient clustering is a well accepted NP-hard optimization problem in Wireless
sensor networks (WSNs). Diverse paradigm of Computational intelligence (CI) including …
sensor networks (WSNs). Diverse paradigm of Computational intelligence (CI) including …
Exergy analysis and multiobjective optimization of a biomass gasification based multigeneration system
H Rashidi, J Khorshidi - International Journal of Hydrogen Energy, 2018 - Elsevier
Biomass gasification is a process of converting biomass to a combustible gas suitable for
use in boilers, engines and turbines to produce combined cooling, heat and power. This …
use in boilers, engines and turbines to produce combined cooling, heat and power. This …
Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks
Energy-efficient clustering protocols are much sought specially for low-power, multi-
functional Wireless Sensor Networks (WSNs). With the application of Computational …
functional Wireless Sensor Networks (WSNs). With the application of Computational …
Improved artificial bee colony metaheuristic for energy-efficient clustering in wireless sensor networks
Energy-efficient clustering is a well known NP-hard optimization problem for complex and
dynamic Wireless sensor networks (WSNs) environment. Swarm intelligence (SI) based …
dynamic Wireless sensor networks (WSNs) environment. Swarm intelligence (SI) based …
A fuzzy adaptive differential evolution for multi-objective 3D UAV path optimization
D Adhikari, E Kim, H Reza - 2017 IEEE congress on …, 2017 - ieeexplore.ieee.org
This paper presents a fuzzy adaptive differential evolution (DE) for 3D UAV path planning.
The path-planning problem is formulated as a multi-objective unconstrained optimization …
The path-planning problem is formulated as a multi-objective unconstrained optimization …
Improved metaheuristic-based energy-efficient clustering protocol with optimal base station location in wireless sensor networks
Efficient clustering is a well-documented NP-hard optimization problem in wireless sensor
networks (WSNs). Variety of computational intelligence techniques including evolutionary …
networks (WSNs). Variety of computational intelligence techniques including evolutionary …
Differential Evolution with an Unbounded Population
T Kitamura, A Fukunaga - 2022 IEEE Congress on Evolutionary …, 2022 - ieeexplore.ieee.org
The notion of a population with individuals which are replaced by newly generated
individuals is a pervasive idea in differential evolution (DE). Techniques such as archives …
individuals is a pervasive idea in differential evolution (DE). Techniques such as archives …