[PDF][PDF] A history of metaheuristics
A History of Metaheuristics arXiv:1704.00853v1 [cs.AI] 4 Apr 2017 Page 1 A History of
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …
Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators
This paper proposes an enhancement of the meta-heuristic whale optimization algorithm
(WOA) for maximum power point tracking (MPPT) of variable-speed wind generators. First of …
(WOA) for maximum power point tracking (MPPT) of variable-speed wind generators. First of …
Hybrid of human learning optimization algorithm and particle swarm optimization algorithm with scheduling strategies for the flexible job-shop scheduling problem
H Ding, X Gu - Neurocomputing, 2020 - Elsevier
The flexible job-shop scheduling problem (FJSP) is a well-known combinational
optimization problem. Studying FJSP is essential for promoting production efficiency and …
optimization problem. Studying FJSP is essential for promoting production efficiency and …
A novel human learning optimization algorithm with Bayesian inference learning
P Zhang, L Wang, Z Fei, L Wei, M Fei… - Knowledge-Based …, 2023 - Elsevier
Humans perform Bayesian inference in a wide variety of tasks, which can help people make
selection decisions effectively and therefore enhances learning efficiency and accuracy …
selection decisions effectively and therefore enhances learning efficiency and accuracy …
An adaptive-learning-based genetic algorithm for collaborative scheduling of distributed operating rooms
To improve surgical services and hospital performance, collaborative operating room
planning and scheduling across a network of hospitals has recently emerged as a new …
planning and scheduling across a network of hospitals has recently emerged as a new …
Serial-batching group scheduling with release times and the combined effects of deterioration and truncated job-dependent learning
This paper investigates a single machine serial-batching scheduling problem considering
release times, setup time, and group scheduling, with the combined effects of deterioration …
release times, setup time, and group scheduling, with the combined effects of deterioration …
A migration-based cuttlefish algorithm with short-term memory for optimization problems
MS Al Daweri, S Abdullah, KAZ Ariffin - IEEE Access, 2020 - ieeexplore.ieee.org
Cuttlefish algorithm (CFA) is a metaheuristic bio-inspired algorithm that mimics the color-
changing behavior by the cuttlefish. It is produced by light reflected from different layers of …
changing behavior by the cuttlefish. It is produced by light reflected from different layers of …
A human learning optimization algorithm with reasoning learning
Abstract Human Learning Optimization (HLO) is a simple yet powerful meta-heuristic
developed based on a simplified human learning model. Many cognitive activities of …
developed based on a simplified human learning model. Many cognitive activities of …
[HTML][HTML] A new compound structure combining DAWNN with modified water cycle algorithm-based synchronous optimization for wind speed forecasting
Y Meng, S Sun, Y Wang, C Wang - Energy Reports, 2022 - Elsevier
With the aims to improve the forecasting performance, a novel hybrid model based on
variational mode decomposition (VMD), phase space reconstruction (PSR), improved water …
variational mode decomposition (VMD), phase space reconstruction (PSR), improved water …
Hybrid adaptive simplified human learning optimization algorithms for supply chain network design problem with possibility of direct shipment
A Shoja, S Molla-Alizadeh-Zavardehi… - Applied soft computing, 2020 - Elsevier
A two-stage supply chain network design problem with a minimization type cost-based
objective function is focused in this study. Some important assumptions such as considering …
objective function is focused in this study. Some important assumptions such as considering …