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Found 9 papers, 0 papers with code
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework
A novel hybrid framework that learns to dynamically and adaptively select promising search operators is proposed.
Learning Traffic Signal Control via Genetic Programming
In our approach, we design a concept of phase urgency for each signal phase.
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm
The Critical Node Problem (CNP) is concerned with identifying the critical nodes in a complex network.
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems
To address this issue, this paper proposes a distance-aware attention reshaping method, assisting neural solvers in solving large-scale vehicle routing problems.
XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks
This paper introduces a new CE representation and algorithm capable of evolving novel multi-path CNN architectures of varying depth, width, and complexity for image and text classification tasks.
Local Optima Correlation Assisted Adaptive Operator Selection
In this paper, we propose to empirically analyse the relationship between operators in terms of the correlation between their local optima and develop a measure for quantifying their relationship.
A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem
This paper focuses on a multi-objective MPDA problem which is to design an execution plan of the robots to minimise the number of robots and the maximal completion time of all the tasks.
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition
This paper proposes a novel problem decomposition operator, named the route cutting off operator, which considers the interactions between the tasks in a sophisticated way.
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
Due to its direct relevance to post-disaster operations, meter reading and civil refuse collection, the Uncertain Capacitated Arc Routing Problem (UCARP) is an important optimisation problem.
