Parameter control in evolutionary algorithms: Trends and challenges
G Karafotias, M Hoogendoorn… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
More than a decade after the first extensive overview on parameter control, we revisit the
field and present a survey of the state-of-the-art. We briefly summarize the development of …
field and present a survey of the state-of-the-art. We briefly summarize the development of …
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
The performance of most metaheuristic algorithms depends on parameters whose settings
essentially serve as a key function in determining the quality of the solution and the …
essentially serve as a key function in determining the quality of the solution and the …
Improving the search performance of SHADE using linear population size reduction
SHADE is an adaptive DE which incorporates success-history based parameter adaptation
and one of the state-of-the-art DE algorithms. This paper proposes L-SHADE, which further …
and one of the state-of-the-art DE algorithms. This paper proposes L-SHADE, which further …
Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique
Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …
algorithms as it requires an efficient exploration for finding the promising region of the …
Improving differential evolution through Bayesian hyperparameter optimization
We propose a novel Evolutionary Algorithm (EA) based on the Differential Evolution
algorithm for solving global numerical optimization problem in real-valued continuous …
algorithm for solving global numerical optimization problem in real-valued continuous …
Improving the local search capability of effective butterfly optimizer using covariance matrix adapted retreat phase
Effective Butterfly Optimizer (EBO) is a self-adaptive Butterfly Optimizer which incorporates a
crossover operator in Perching and Patrolling to increase the diversity of the population. This …
crossover operator in Perching and Patrolling to increase the diversity of the population. This …
An adaptive multipopulation differential evolution with dynamic population reduction
Develo** efficient evolutionary algorithms attracts many researchers due to the existence
of optimization problems in numerous real-world applications. A new differential evolution …
of optimization problems in numerous real-world applications. A new differential evolution …
Increased performance and better patient attendance in an hospital with the use of smart agendas
Hospital environments tend to be very ineffective, resulting in the lost of valuable resources
at all times. Current approaches that address this problem tend to ignore the patient, looking …
at all times. Current approaches that address this problem tend to ignore the patient, looking …
[HTML][HTML] Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China
J Dong, L **ng, N Cui, L Guo, C Liang, L Zhao… - Agricultural Water …, 2024 - Elsevier
Accurate estimation of reference crop evapotranspiration (ETo) is crucial for agricultural
water management. As the simplified alternatives of the Penman-Monteith equation …
water management. As the simplified alternatives of the Penman-Monteith equation …
3-D gravity inversion for the basement relief reconstruction through modified success-history-based adaptive differential evolution
SUMMARY A gravity inversion procedure using the success-history-based adaptive
differential evolution (SHADE) algorithm is presented to reconstruct the 3-D basement relief …
differential evolution (SHADE) algorithm is presented to reconstruct the 3-D basement relief …