In recent years, the advancement of AI has been primarily driven by neural networks, which, despite their success, pose challenges in terms of explainability and high-power consumption. genetic programming (GP) offers...
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Microservice deployment in cloud computing is a challenging combinatorial optimization problem due to the complex dependencies among microservices and the intricate trade-offs among different QoS requirements, e.g., m...
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Symbolic regression is a task aimed at auto-matically discovering and constructing mathematical models from data that describe the complex relationships between inputs and outputs. Evolutionary multitask methods have ...
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The automated design of analog circuits presents a significant challenge due to the complexity of circuit topology and parameter selection. Traditional evolutionary algorithms, such as genetic programming (GP), have s...
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genetic programming can find nearly optimal solutions for complex problems like minimizing a building's energy costs by optimally controlling its energy flows. For such problems, usually multiple controllers are n...
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Illicit drugs are often mixtures containing cutting agents and other adulterants. The adulterants can cause harm on their own or when consumed in conjunction with the illicit drug. Drug checking services mitigate the ...
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The introduction of a Cellular Automata (CA)-like structure on the population of Evolutionary Algorithms (EAs) has been verified to be a method to improve solutions quality. However, the study of CA-like structures fo...
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Dynamic multi-mode resource-constrained project scheduling problem (DMRCPSP) is crucial for effectively managing complex projects where activities have multiple options of resource demand and durations are uncertain. ...
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Urban bus services are a vital component of modern cities’ mobility. However, challenges such as traffic congestion, unpredictable weather, and operational incidents often cause delays, negatively impacting service q...
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Vectorial genetic programming (Vec-GP) extends GP by allowing vectors as input features along regular, scalar features, using them by applying arithmetic operations component-wise or aggregating vectors into scalars b...
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