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Surrogate-Assisted Ship Route Optimisation
A new surrogate-assisted, pruned dynamic programming-based optimal path search algorithm—studied in the context of ship weather routing—is shown to...
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Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization
Surrogate-assisted evolutionary algorithms have been widely employed for solving expensive optimization problems. To address high-dimensional...
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Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control
Many real world reinforcement learning (RL) problems consist of multiple conflicting objective functions that need to be optimized simultaneously....
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Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding
Evolutionary Reinforcement Learning (ERL) that applying Evolutionary Algorithms (EAs) to optimize the weight parameters of Deep Neural Network (DNN)...
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Enhancing surrogate-assisted evolutionary optimization for medium-scale expensive problems: a two-stage approach with unsupervised feature learning and Q-learning
This paper presents a novel two-stage progressive search approach with unsupervised feature learning and Q-learning (TSLL) to enhance...
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A surrogate-assisted bi-swarm evolutionary algorithm for expensive optimization
This article introduces an efficient surrogate-assisted bi-swarm evolutionary algorithm (SABEA) with hybrid and ensemble strategies for...
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Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression
Surrogate-assisted optimization algorithms are a commonly used technique to solve expensive-evaluation problems, in which a regression model is built...
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Surrogate-Assisted \((1+1)\) -CMA-ES with Switching Mechanism of Utility Functions
The invariance to any monotonically increasing transformation of the objective function is an essential property of the covariance matrix adaptation...
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Surrogate-assisted strategies: the parameterisation of an infectious disease agent-based model
Parameter calibration is a significant challenge in agent-based modelling and simulation (ABMS). An agent-based model’s (ABM) complexity grows as the...
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Surrogate-assisted evolutionary multi-objective optimisation applied to a pressure swing adsorption system
The complexity of chemical plant systems (CPS) makes optimising their design and operation challenging tasks. This complexity also results in...
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Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate
When faced with large-instance datasets, existing feature selection methods based on evolutionary algorithms still face the challenge of high...
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Surrogate-Assisted Artificial Bee Colony Algorithm
Search strategies play an essential role in the artificial bee colony (ABC) algorithm. Different optimization problems and search stages may need...
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Investigating the influence of survival selection and fitness estimation method in genotype-based surrogate-assisted genetic programming
This paper focuses on surrogate-assisted genetic programming (SAGP), an efficient evolutionary program optimization approach based on the surrogate...
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Surrogate-assisted hyper-parameter search for portfolio optimisation: multi-period considerations
Portfolio management is a multi-period multi-objective optimisation problem subject to various constraints. However, portfolio management is treated...
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A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization
It is a big challenge for multi-objective evolutionary algorithms to solve expensive multi-objective optimization due to high computational cost. To...
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Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers
A new surrogate-assisted dynamic programming based optimal path search algorithm – studied in the context of high-performance sailing – is shown to...
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Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study
Lithium-ion batteries are widely used in various fields due to their high energy density and long cycling life. However, over-charge, over-discharge,...
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A Surrogate-Assisted Ensemble Particle Swarm Optimizer for Feature Selection Problems
For feature selection problems on high-dimensional data, this paper proposes a surrogate-assisted ensemble particle swarm feature selection...
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An improved bagging ensemble surrogate-assisted evolutionary algorithm for expensive many-objective optimization
When the surrogate-assisted evolutionary algorithm is used to solve expensive many-objective optimization problems, the surrogate is used to...
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Surrogate-Assisted Multi-objective Optimization for Compiler Optimization Sequence Selection
Compiler developers typically design various optimization options to produce optimized programs. Generally, it is a challenging task to identify a...