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A decision tree learning hyper-heuristic for decision-making in simulated self-driving cars.
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05)
This document describes a feasible way of implementing hyper-heuristics into self-driving cars for decision-making. Hyper-heuristics techniques are used as an automated procedure for selecting or generating among a set of ...
Building General Hyper-Heuristics for Multi-Objective Cutting Stock Problems
(Computación y Sistemas;Vol. 16 No. 3, 2012-08-31)
Abstract: In this article we build multi-objective hyperheuristics (MOHHs) using the multi-objective evolutionary algorithm NSGA-II for solving irregular 2D cutting stock problems under a bi-objective minimization schema, ...
Parallel hyper-heuristics for process engineering optimization
(Pergamon-Elsevier Science Ltd, 2021-10)
This paper presents the general framework of a parallel cooperative hyper-heuristic optimizer (PCHO) to solve systems of nonlinear algebraic equations with equality and inequality constraints. The algorithm comprises the ...
Exploring Selection and Generation Hyper-heuristic Approaches for the Job Shop Scheduling Problem
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06)
The job-shop scheduling problem (JSSP) represents a challenging field of study with many industrial and real-world applications that skyrocket its importance. Solving a JSSP requires allocating a set of jobs in a set of ...
Exploring Hyper-Heuristic Approaches for Solving Constraint Satisfaction Problems
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2015)
An Evolutionary Framework for Producing Hyper-Heuristics for Solving the 2D Irregular Bin Packing Problem
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2015)
Exploring data-driven selection hyper-heuristic approaches for the curriculum-based course timetabling
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12)
The curriculum-based timetabling problem (CB-CTT) represents a challenging field of study within educational timetabling, with real-world applications that stress its importance. Solving a CB-CTT problem requires allocating ...
Modelo hiper-heurístico baseado em redes de autômatos estocásticos com aprendizado
(Universidade do Vale do Rio dos Sinos, 2020-04-28)
In the last decade, there has been a substantial increase in works about metaheuristics based on metaphors. Although these works have produced effective solutions within their proposals, the scientific community criticizes ...