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Applications in Medical Technology for Optimized Convolutional Neural Network Using Differential Evolutionary Algorithm
Overall, in the world, most deaths are caused by heart attacks and cancer. Development in medical imaging technology using deep learning algorithms...
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A Two-Stage Cooperative Multi-objective Evolutionary Differential Algorithm for Combined Heat and Power Economic Emission Dispatch
Combined heat and power economic emission dispatch (CHPEED) can obtain good economic and environmental benefits, but the dispatch problem presents...
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Autoencoder evolutionary algorithm for large-scale multi-objective optimization problem
Multi-objective optimization problems characterized by a substantial number of decision variables, which are also called large-scale multi-objective...
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A Kriging-assisted multi-stage evolutionary algorithm for expensive many-objective optimization problems
For expensive problems, as the number of objectives and the number of decision variables increase, the number of non-dominated solutions in the...
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A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
Clustering is a grou** technique that has long been used to relate data homogeneously. With the huge growth of complex datasets from different...
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Multi-Robot Task Allocation Using Multimodal Multi-Objective Evolutionary Algorithm Based on Deep Reinforcement Learning
The overall performance of multi-robot collaborative systems is significantly affected by the multi-robot task allocation. To improve the...
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Multimodal multi-objective optimization with multi-stage-based evolutionary algorithm
A key issue in tackling multimodal multi-objective optimization problems (MMOPs) is achieving the balance between objective space diversity and...
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Dual-drive collaboration surrogate-assisted evolutionary algorithm by coupling feature reduction and reconstruction
Surrogate-assisted evolutionary algorithm (SAEA) prevails in the optimization of computationally expensive problems. However, existing SAEAs confront...
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Network access selection in heterogeneous Internet of vehicles based on improved multi-objective evolutionary algorithm
In the networking of vehicles, the information exchange between network infrastructure and vehicles is very important. However, at the current...
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Multifactorial evolutionary algorithm with adaptive transfer strategy based on decision tree
Multifactorial optimization (MFO) is a kind of optimization problem that has attracted considerable attention in recent years. The multifactorial...
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A distributed individuals based multimodal multi-objective optimization differential evolution algorithm
There may exist a one-to-many map** between objective and decision spaces in multimodal multi-objective optimization problems (MMOPs), which...
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Dual population multi-objective evolutionary algorithm for dynamic co-transformations
Solving constrained multi-objective optimization problems is a challenging task and existing algorithms have been struggling to balance constrained...
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A new evolutionary optimization based on multi-objective firefly algorithm for mining numerical association rules
Association rule mining (ARM) is a widely used technique in data mining for pattern discovery. However, association rule mining in numerical data...
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Dynamic matrix-based evolutionary algorithm for large-scale sparse multiobjective optimization problems
Multiobjective optimization problems exist widely in practical applications involving large-scale decision variables and sparse Pareto optimal...
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Relaxed Differential Evolution Algorithm
This article presents a new variant of the Differential Evolution Algorithm (DEA) without the sequential condition of the individuals' selections in...
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A novel intelligent Fuzzy-AHP based evolutionary algorithm for detecting communities in complex networks
The realm of complex network analysis is witnessing a surge in research focus on community detection. Numerous algorithms have been put forth, each...
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A point crowding-degree based evolutionary algorithm for many-objective optimization
It is well known that many-objective optimization problems (MaOPs) are difficultly to be balanced diversity and convergence in the search process...
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Differential evolution-based transfer rough clustering algorithm
Due to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of...
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HAS-EA: a fast parallel surrogate-assisted evolutionary algorithm
Many real-world phenomena are modeled as expensive optimization problems (EOPs) that are not readily solvable without extensive computational cost....
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Success-History Based Adaptive Differential Evolution Algorithm for Discrete Structural Optimization
Discrete structural optimization is generally regarded as a complicated optimization problem due to the presence of discrete variables. However,...
