B∗ Algorithm: Multiobjective Path Planning for Flexible Buses Traffic System
Journal of Advanced Transportation, Volume 2024, Issue 1, 2024.Advances in vehicle intelligence have ushered in the rapid development of intelligent connected vehicles and the emergence of the Internet of Vehicles (IoV), greatly improving the passenger travel experience. However, as a new mode of transport, flexible public transportation presents challenges for operators in terms of reducing costs and improving ...
Zhida Ke +9 more
wiley +1 more source
A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics [PDF]
, 2010 We present a genetic programming (GP) system to evolve reusable heuristics for the 2-D strip packing problem. The evolved heuristics are constructive, and decide both which piece to pack next and where to place that piece, given the current partial ...
Burke, Edmund K. +3 more
core +1 more source
Hyper-Heuristics and Scheduling Problems: Strategies, Application Areas, and Performance Metrics
IEEE AccessScheduling problems, which involve allocating resources to tasks over specified time periods to optimize objectives, are crucial in various fields. This work presents hyper-heuristic applications for scheduling problems, analyzing 215 peer-reviewed ...
Alonso Vela +4 more
doaj +1 more source
Metaheuristic Optimization Frameworks: a Survey and Benchmarking [PDF]
, 2012 This paper performs an unprecedented comparative study of Metaheuristic optimization frameworks. As criteria for comparison a set of 271 features grouped in 30 characteristics and 6 areas has been selected.
Fernández Montes, Pablo +3 more
core +1 more source
Comparing Low and High-Level Hybrid Algorithms on the Two-Objective Optimal Design of Water Distribution Systems [PDF]
, 2014 The final publication is available at Springer via http://dx.doi.org/10.1007/s11269-014-0823-8This paper presents the comparison of two hybrid methodologies for the two-objective (cost and resilience) design of water distribution systems.
Creaco, Enrico +4 more
core +1 more source
Automatic design of algorithms for the traveling salesman problem
Cogent Engineering, 2016 The automatic generation of procedures for combinatorial optimization problems is emerging as a new alternative to address the hardest problems of this class.
Cristian Loyola +4 more
doaj +1 more source
Hiperheurística diseñada para un problema de localización y transporte público [PDF]
, 2014 Se propone aquí el empleo de una hiperheurística para resolver un problema de localización y transporte. El trabajo presenta una clasificación en el campo de las hiperheurísticas, se establecen claramente los beneficios que proporcionan y se exponen las ...
Brignole, Nelida Beatriz +2 more
core
Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems [PDF]
, 2005 This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems.
Burke, Edmund +3 more
core +1 more source
Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models
BiomimeticsCausal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning.
Yinglong Dang +2 more
doaj +1 more source
Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation [PDF]
, 2002 The term hyperheuristic was introduced by the authors as a high-level heuristic that adaptively controls several low-level knowledgepoor heuristics so that while using only cheap, easy-to-implement low-level heuristics, we may achieve solution quality approaching that of an expensive knowledge-rich approach. For certain classes of problems, this allows
Peter I. Cowling +2 more
openaire +1 more source