Results 161 to 170 of about 24,415 (308)

Study of Convergence in Metaheuristics Algorithms

Baltic Journal of Modern Computing, 2019
Donatas Kavaliauskas, Leonidas Sakalauskas   +1 more
openaire   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

Probabilistic Optimal Power Flow Solution Using a Novel Hybrid Metaheuristic and Machine Learning Algorithm [PDF]

, 2022
Mohamed A. M. Shaheen, Hany M. Hasanien, S. F. Mekhamer, Mohammed H. Qais, Saad Alghuwainem, Zia Ullah, Marcos Tostado‐Véliz, Rania A. Turky, Francisco Jurado, Mohamed R. Elkadeem   +9 more
openalex   +1 more source

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search

, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim, Bishop, Mark (J. M.), al-Rifaie, Mohammad Majid   +2 more
core  

An enhanced adaptive large neighborhood search algorithm for the multiple allocation p‐hub location problem with a mesh backbone network in video‐on‐demand services

International Transactions in Operational Research, EarlyView.
Abstract This study tackles the multiple allocation p$p$‐hub location problem (MApHLP) in the context of video‐on‐demand services, where digital content is partitioned into segments and stored exclusively at selected hub locations. Users, distributed across a wide geographical area, can connect to multiple hubs based on demand patterns, with all hubs ...
Soumen Atta
wiley   +1 more source

A Brief Survey on Nature Inspired Metaheuristic and Hybrid-Metaheuristic Optimization Algorithm

, 2018
Aneesh Wunnava, Manoj Kumar Naik
openalex   +2 more sources

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

International Transactions in Operational Research, Volume 33, Issue 6, Page 4039-4071, November 2026.
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz, David Lopez‐Lopez, Laura Calvet, Angel A. Juan   +3 more
wiley   +1 more source

An efficient variable neighborhood search approach for the facility location problem with the limited choice rule

International Transactions in Operational Research, Volume 33, Issue 6, Page 3905-3933, November 2026.
Abstract One of the most common problems in the expansion of a company consists of deciding the most appropriate locations for their facilities. This decision problem, known as the facility location problem, has been studied from different perspectives, considering a number of different constraints.
Enrique García‐Galán, Alberto Herrán, J. Manuel Colmenar   +2 more
wiley   +1 more source

Enhancing Non-Invasive Blood Glucose Prediction from Photoplethysmography Signals via Heart Rate Variability-Based Features Selection Using Metaheuristic Algorithms

Diabetes requires effective monitoring of the blood glucose level (BGL), traditionally achieved through invasive methods. This study addresses the non-invasive estimation of BGL by utilizing heart rate variability (HRV) features extracted from ...
Saifeddin Alghlayini, Mohamed Atef, Mohammed Azmi Al-Betar   +2 more
core   +1 more source

A formulation and a metaheuristic approach for the clustered vehicle routing problem with d‐relaxed priority rule

International Transactions in Operational Research, Volume 33, Issue 6, Page 3714-3743, November 2026.
Abstract This paper investigates an extension of the vehicle routing problem in which, in addition to minimizing the distance traveled, the sequencing of customer visits is subject to precedence constraints that impose visiting priorities among customers.
Eduardo dos Santos Teixeira, Silvio Alexandre de Araujo   +1 more
wiley   +1 more source