Results 41 to 50 of about 177,718 (299)

A meta-heuristic method to design off-grid community electrification projects with renewable energies [PDF]

open access: yes, 2015
The design of off-grid electrification projects considering hybrid systems and distribution microgrids is a complex task that requires the use of decision support tools.
Ferrer Martí, Laia   +3 more
core   +2 more sources

Feasibility restoration for iterative meta-heuristics search algorithms [PDF]

open access: yes, 2002
Many combinatorial optimisation problems have constraints that are difficult for meta-heuristic search algorithms to process. One approach is that of feasibility restoration.
Randall, Marcus
core   +1 more source

A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms

open access: yesIET Software, 2021
In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real ...
Mohammad Reza Hasanzadeh, Farshid Keynia
doaj   +1 more source

Active Energy Management Based on Meta-Heuristic Algorithms of Fuel Cell/Battery/Supercapacitor Energy Storage System for Aircraft

open access: yesAerospace, 2021
This paper presents the application of an active energy management strategy to a hybrid system consisting of a proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor.
Hasan Çınar, Ilyas Kandemir
doaj   +1 more source

Meta-heuristic Algorithms for Nesting Problem of Rectangular Pieces [PDF]

open access: yes, 2017
Nesting problems consist of placing multiple items onto larger shapes finding a good arrangement. The goal of the nesting process is to minimize the waste of material.
Lo Valvo, E.
core   +1 more source

On Meta-Learning Rule Learning Heuristics [PDF]

open access: yesSeventh IEEE International Conference on Data Mining (ICDM 2007), 2007
The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. To that end, we let a rule learner learn a large number of rules and record their performance on the test set. Subsequently, we train regression algorithms on predicting the test set performance of a rule from its training set ...
Frederik Janssen, Johannes Fürnkranz
openaire   +1 more source

Test Case Prioritization Using Ant Colony Optimization to Improve Fault Detection and Time

open access: yesJournal of Informatics and Web Engineering
Regression testing plays a critical role in ensuring the reliability and quality of software following continuous integration and development. However, executing all test cases during regression testing can be time-consuming and resource-intensive.
Nurezayana Zainal   +4 more
doaj   +1 more source

Nonparametric Comparison of Two Dynamic Parameter Setting Methods in a Meta-Heuristic Approach [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2007
Meta-heuristics are commonly used to solve combinatorial problems in practice. Many approaches provide very good quality solutions in a short amount of computational time; however most meta-heuristics use parameters to tune the performance of the meta ...
Seyhun HEPDOGAN   +3 more
doaj  

Sensing cloud optimization to solve ED of units with valve-point effects and multi-fuels [PDF]

open access: yes, 2013
In this paper a solution to an highly constrained and non-convex economical dispatch (ED) problem with a meta-heuristic technique named Sensing Cloud Optimization (SCO) is presented.
A.I. Selvakumar   +8 more
core   +4 more sources

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann   +8 more
wiley   +1 more source

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