Results 81 to 90 of about 47,568 (277)

An efficient genetic algorithm for a hybrid flow shop scheduling problem with time lags and sequence-dependent setup time

Manufacturing Review, 2014
In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and sequence-dependent setup time in realistic situations is presented.
Farahmand-Mehr Mohammad, Fattahi Parviz, Kazemi Mohammad, Zarei Hassan, Piri Ali   +4 more
doaj   +1 more source

The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?

European Policy Analysis, EarlyView.
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley   +1 more source

Optimal size selection of combined diesel generator/fuel cell/photovoltaic system components using a multi‐objective strategy and sea lion optimization algorithm

IET Renewable Power Generation, EarlyView., 2023
The main purpose of the presented paper is to offer an optimum arrangement for a combined diesel generator/FC/PV system to off‐grid supplying of the electricity in a community in Shache, China. Abstract One of the challenges of the production sector of the electricity industry at present is how to meet the needs of electricity consumption in the ...
Hongbin Wang, Nurulafiqah Nadzirah Binti Mansor, Hazlie Bin Mokhlis, Arsam Mashhadi   +3 more
wiley   +1 more source

Compress Digital Image based on Genetic Meta-Heuristic algorithm [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2013
In this research a propose method has be used to compression Data of digital image  based on one of Meta Heuristic Algorithm. Genetic Meta Heuristic has been applied to obtain effective data and then performed compression operation using Vector ...
Fawziya Ramo, Yaser Al Deen
doaj   +1 more source

Structure Selection of Polynomial NARX Models using Two Dimensional (2D) Particle Swarms

, 2018
The present study applies a novel two-dimensional learning framework (2D-UPSO) based on particle swarms for structure selection of polynomial nonlinear auto-regressive with exogenous inputs (NARX) models.
Hafiz, Faizal, Mendes, Eduardo MAM, Patel, Nitish, Swain, Akshya   +3 more
core   +1 more source

Gut‐microbiota‐brain Axis and post‐traumatic epilepsy

Epilepsia Open, EarlyView.
Abstract There has been growing evidence that perturbations in gut‐microbiota‐brain axis (GMBA) are involved in mechanisms of chronic sequelae of traumatic brain injury (TBI). This review discusses the connection between GMBA and post‐traumatic epilepsy (PTE), the latter being a common outcome of TBI.
Andrey Mazarati
wiley   +1 more source

Solving Energy-Aware Real-Time Tasks Scheduling Problem with Shuffled Frog Leaping Algorithm on Heterogeneous Platforms

Sensors, 2015
Reducing energy consumption is becoming very important in order to keep battery life and lower overall operational costs for heterogeneous real-time multiprocessor systems. In this paper, we first formulate this as a combinatorial optimization problem.
Weizhe Zhang, Enci Bai, Hui He, Albert M.K. Cheng   +3 more
doaj   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

Human Resource Development Quarterly, EarlyView.
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley   +1 more source