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Towards a characterisation of smart systems: A systematic literature review
Enterprises and governments are focusing their efforts on reducing the gap between the
physical and the digital world to address various challenges. This digital transformation is …
physical and the digital world to address various challenges. This digital transformation is …
A generic distributed microservices and container based framework for metaheuristic optimization
H Khalloof, W Jakob, J Liu, E Braun… - Proceedings of the …, 2018 - dl.acm.org
In recent years, metaheuristics have been a convincing solution for solving many types of
complex optimization problems. Efficient execution for the most variants of metaheuristics eg …
complex optimization problems. Efficient execution for the most variants of metaheuristics eg …
A generic scalable method for scheduling distributed energy resources using parallelized population-based metaheuristics
Recent years have seen an increasing integration of distributed renewable energy
resources into existing electric power grids. Due to the uncertain nature of renewable energy …
resources into existing electric power grids. Due to the uncertain nature of renewable energy …
Dynamic map** for evolutionary algorithm based optimization of energy hub gas scheduling
To reach the goal for limiting climate change, a large amount of renewable energy sources
(RESs) needs to be installed and integrated into the existing electrical grid infrastructure …
(RESs) needs to be installed and integrated into the existing electrical grid infrastructure …
Dynamic chromosome interpretation in evolutionary algorithms for distributed energy resources scheduling
Integrating renewable generation into the existing electricity grid to reduce Greenhouse Gas
(GHG) emissions involves several challenges. These include, eg, volatile generation and …
(GHG) emissions involves several challenges. These include, eg, volatile generation and …
Dynamic Phenotype Map** in Evolutionary Algorithms for Energy Hub Scheduling
Abstract The integration of Renewable Energy Resources into the existing electricity grid to
reduce Greenhouse Gas emissions raises several challenges, such as volatile generation …
reduce Greenhouse Gas emissions raises several challenges, such as volatile generation …
A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics
H Khalloof, M Mohammad, S Shahoud… - Proceedings of the 12th …, 2020 - dl.acm.org
Population-based metaheuristics-such as Evolutionary Algorithms (EAs)-are one of the most
popular methods for solving highly complex and large-scale optimization problems …
popular methods for solving highly complex and large-scale optimization problems …
A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments
H Khalloof - 2023 - publikationen.bibliothek.kit.edu
In letzter Zeit hat die Komplexität von Optimierungsproblemen drastisch zugenommen, was
zu nichtlinearen, multimodalen, komplex beschränkten und nicht konvexen Suchräumen …
zu nichtlinearen, multimodalen, komplex beschränkten und nicht konvexen Suchräumen …
[PDF][PDF] A smart assessment of business processes for enterprises decision support
NMR Aquino - 2021 - theses.fr
This chapter presents the theoretical aspects that are relevant to understand the content of
this thesis. The concepts that are introduced, specifically in Section 1.2, are related to …
this thesis. The concepts that are introduced, specifically in Section 1.2, are related to …
A scalable method for scheduling distributed energy resources using parallelized population-based metaheuristics
Recent years have seen an increasing integration of distributed renewable energy
resources into existing electric power grids. Due to the uncertain nature of renewable energy …
resources into existing electric power grids. Due to the uncertain nature of renewable energy …