A walk into metaheuristics for engineering optimization: principles, methods and recent trends
Metaheuristics has attained increasing interest for solving complex real-world problems.
This paper studies the principles and the state-of-the-art of metaheuristic methods for …
This paper studies the principles and the state-of-the-art of metaheuristic methods for …
Optimizing the performance of optimization in the cloud environment–An intelligent auto-scaling approach
The cloud computing paradigm has gained wide acceptance in the scientific community,
taking a significant share from fields previously reserved exclusively for High Performance …
taking a significant share from fields previously reserved exclusively for High Performance …
Efficient evolutionary optimization using predictive auto-scaling in containerized environment
Solving complex real-world optimization problems is a computationally demanding task. To
solve it efficiently and effectively, one must possess expert knowledge in various fields …
solve it efficiently and effectively, one must possess expert knowledge in various fields …
WebAL comes of age: A review of the first 21 years of artificial life on the web
We present a survey of the first 21 years of web-based artificial life (WebAL) research and
applications, broadly construed to include the many different ways in which artificial life and …
applications, broadly construed to include the many different ways in which artificial life and …
The seamless peer and cloud evolution framework
Evolutionary algorithms are increasingly being applied to problems that are too
computationally expensive to run on a single personal computer due to costly fitness …
computationally expensive to run on a single personal computer due to costly fitness …
A generic scalable method for scheduling distributed energy resources using parallelized population-based metaheuristics
H Khalloof, W Jakob, S Shahoud, C Duepmeier… - Proceedings of the …, 2021 - Springer
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 …
Harnessing memetic algorithms: a practical guide
C Cotta - TOP, 2025 - Springer
The aim of this work is to provide a didactic approximation to memetic algorithms (MAs) and
how to apply these techniques to an optimization problem. MAs are based on the synergistic …
how to apply these techniques to an optimization problem. MAs are based on the synergistic …
Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform
We present cCube, an open source architecture used to automatically create an application
of one or more Evolutionary Machine Learning (EML) classification algorithms that can be …
of one or more Evolutionary Machine Learning (EML) classification algorithms that can be …
Adapting distributed evolutionary algorithms to heterogeneous hardware
Distributed computing environments are nowadays composed of many heterogeneous
computers able to work cooperatively. Despite this, the most of the work in parallel …
computers able to work cooperatively. Despite this, the most of the work in parallel …
[PDF][PDF] Towards optimal allocation of resources in cloud modified mapreduce using genetic algorithm
Background: Cloud computing is one among the unfathomable knowledge exploration in the
field of Information Technology. A virgin as well as a task emerging area of study, cloud …
field of Information Technology. A virgin as well as a task emerging area of study, cloud …