Results 31 to 40 of about 235,286 (321)
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
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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
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Evolutionary algorithms and dynamic programming [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled by evolutionary algorithms that use a representation which enables them to construct solutions in a dynamic programming fashion.
Doerr, B. +4 more
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Self-adaptation of mutation distribution in evolutionary algorithms [PDF]
, 2007 This paper is posted here with permission from IEEE - Copyright @ 2007 IEEEThis paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpose,
Tinos, R, Yang, S
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PROSET — A Language for Prototyping with Sets [PDF]
, 1992 We discuss the prototyping language PROSET(Prototyping with Sets) as a language for experimental and evolutionary prototyping, focusing its attention on algorithm design.
Doberkat, Ernst-Erich +5 more
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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
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Ant colony optimisation and local search for bin-packing and cutting stock problems [PDF]
, 2003 The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small instances, so for real-world problems, we have to rely on heuristic ...
Bauer A +12 more
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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
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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
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