Results 21 to 30 of about 321,863 (350)
Studying Parallel Evolutionary Algorithms: The cellular Programming Case [PDF]
, 1998 Parallel evolutionary algorithms, studied to some extent over the past few years, have proven empirically worthwhile—though there seems to be lacking a better understanding of their workings. In this paper we concentrate on cellular (fine-grained) models,
A. Loraschi +11 more
core +2 more sources
Mathematics, 2022 The past decade has seen an increase in the number of satellites in orbit and in highly dynamic satellite requests, making the control by ground stations inefficient.
Weihua Qi +3 more
doaj +1 more source
Scalable Evolutionary Computation for Efficient Information Extraction from Remote Sensed Imagery [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Evolutionary computation, in the form of genetic programming, is used to aid information extraction process from high-resolution satellite imagery in a semi-automatic fashion.
L. M. Almutairi, S. Shetty, H. G. Momm
doaj +1 more source
Extended Chaotic Nonlinear Programming Technique Constructing with Genetic Algorithms [PDF]
Journal of Applied Sciences and Nanotechnology, 2021 Chaos theory has attracted much attention because it fully reflects the complexity of the system, which is an essential property in many applications, especially in the optimization problem.
Bahaa Kamal, Nadia Al-Saidi
doaj +1 more source
Info-Evo: Using Information Geometry to Guide Evolutionary Program Learning [PDF]
arXiv, 2021 A novel optimization strategy, Info-Evo, is described, in which natural gradient search using nonparametric Fisher information is used to provide ongoing guidance to an evolutionary learning algorithm, so that the evolutionary process preferentially moves in the directions identified as "shortest paths" according to the natural gradient. Some specifics
arxiv
Genetic Algorithm for Program Synthesis [PDF]
arXiv, 2022 A deductive program synthesis tool takes a specification as input and derives a program that satisfies the specification. The drawback of this approach is that search spaces for such correct programs tend to be enormous, making it difficult to derive correct programs within a realistic timeout. To speed up such program derivation, we improve the search
arxiv
Gene expression programming approach to event selection in high energy physics [PDF]
, 2006 Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented.
Teodorescu, L
core +1 more source
Building a Genetic Algorithm-Based and BIM-Based 5D Time and Cost Optimization Model
IEEE Access, 2023 The digitalization of data has recently had an impact on the building industry. Building information modeling (BIM) is a highly developed technology that is used to predict the cost, lifespan, energy use, and efficiency of buildings.
Majed Alzara +4 more
doaj +1 more source
Investigation on Evolutionary Synthesis of Movement Commands
Modelling and Simulation in Engineering, 2009 This paper deals with usage of an alternative tool for symbolic regression—analytic programming which is able to solve various problems from the symbolic domain, as well as genetic programming and grammatical evolution.
Zuzana Oplatková, Ivan Zelinka
doaj +1 more source
Dynamic flexible job shop scheduling method based on improved gene expression programming
Measurement + Control, 2021 Dynamic scheduling is one of the most important key technologies in production and flexible job shop is widespread. Therefore, this paper considers a dynamic flexible job shop scheduling problem considering setup time and random job arrival.
Chunjiang Zhang +5 more
doaj +1 more source