An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering

S Kassaymeh, S Abdullah, MA Al-Betar… - Artificial Intelligence …, 2023 - Springer
Scientific communities are still motivated to create novel approaches and methodologies for
early estimation of software project development efforts and testing efforts in soft computing …

Adaptive search space to generate a per-instance genetic algorithm for the permutation flow shop problem

SZA Bacha, K Benatchba, FBS Tayeb - Applied Soft Computing, 2022 - Elsevier
This study introduces, HHABS, a new hyper-heuristic for permutation-based problems. It is a
high-level local search that generates tailored genetic algorithms for considered problem …

Sequence-based selection hyper-heuristic model via MAP-elites

M Sánchez, JM Cruz-Duarte, JC Ortiz-Bayliss… - IEEE …, 2021 - ieeexplore.ieee.org
Although the number of solutions in combinatorial optimization problems (COPs) is finite,
some problems grow exponentially and render exact approaches unfeasible. So …

Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature

AK Gárate-Escamilla, I Amaya, JM Cruz-Duarte… - Applied Sciences, 2022 - mdpi.com
Hyper-heuristics have arisen as methods that increase the generality of existing solvers.
They have proven helpful for dealing with complex problems, particularly those related to …

A hyper-heuristic approach based on adaptive selection operator and behavioral schema for global optimization

SM Bozorgi, S Yazdani, M Golsorkhtabaramiri, S Adabi - Soft Computing, 2023 - Springer
Hyper-heuristic is a crucial answer to how problem-specific heuristics can be selected or
generated automatically for solving different optimization problems. However, selecting a …

Complex university timetabling using iterative forward search algorithm and great deluge algorithm

IGA Premananda, A Muklason - Khazanah Informatika: Jurnal …, 2021 - journals.ums.ac.id
University timetabling is an issue that has received more attention in the field of operations
research. Course scheduling is the process of arranging time slots and room for a class by …

Perbandingan Metode Penyelesaian Permasalahan Optimasi Lintas Domain dengan Pendekatan Hyper-Heuristic Menggunakan Algoritma Reinforcement-Late …

A Firdaus, A Muklason, VA Supoyo - Jurnal Teknologi Informasi dan …, 2021 - jtiik.ub.ac.id
Sebuah organisasi terkadang membutuhkan solusi untuk permasalahan optimasi lintas
domain. Permasalahan optimasi lintas domain merupakan permasalahan yang memiliki …

Application of Heuristic Combinations in Hyper-Heuristic Framework for Exam Scheduling Problems

G Icasia, R Tyasnurita, ES Purba - Jurnal RESTI (Rekayasa Sistem …, 2020 - jurnal.iaii.or.id
Abstract Examination Timetabling Problem is one of the optimization and combinatorial
problems. It is proved to be a non-deterministic polynomial (NP)-hard problem. On a large …

Intelligent university timetable scheduling system using sudoku grid with magic square

IN Alkallak, RZ Shaban, YHS Alnema - Bulletin of Electrical Engineering …, 2022 - beei.org
Examination timetabling is problem faced by many academic educational institutions. The
situation formulated as artificial intelligence problems as Sudoku grid with Magic square …

Construção de Calendários de Exames

JMSPA Natário - 2022 - repositorio.ul.pt
Todos os anos, os estabelecimentos de ensino tem de criar calendários de exames. Uma
grande maioria destes estabelecimentos ainda opta pela sua criação manual, resultando …