Results 31 to 40 of about 92,765 (267)

Analysis and prediction of carbon emission factors based on genetic programming

Results in Engineering
In recent years, frequent extreme weather events such as storms and floods globally have made carbon emission reduction a critical issue for addressing environmental challenges through sustainable green pathways.
Wenchao Pan, Tsungxian Lin, Tzuhsiung Lin, Qilin Du, Lili Wu, Qinyi Lin   +5 more
doaj   +1 more source

Estimation Models Generation using Linear Genetic Programming

CLEI Electronic Journal, 2009
The use of decision rules and estimation techniques is increasingly common for decision mak- ing. In recent years studies were conducted which applies Genetic Programming (GP) to obtain rules to make predictions.
Javier Martínez Canillas, Roberto Sánchez, Benjamín Barán   +2 more
doaj   +1 more source

Imperative Genetic Programming

Symmetry
Genetic programming (GP) has a long-standing tradition in the evolution of computer programs, predominantly utilizing tree and linear paradigms, each with distinct advantages and limitations. Despite the rapid growth of the GP field, there have been disproportionately few attempts to evolve ’real’ Turing-like imperative programs (as contrasted with ...
Iztok Fajfar, Ziga Rojec, Árpád Bürmen, Matevz Kunaver, Tadej Tuma, Saso Tomazic, Janez Puhan   +6 more
openaire   +3 more sources

Genetic evolution of programs

Open Computer Science, 2014
Abstract We present evolutionary approach to program development based on absorption of genetic strings at different metalevels. Introducing the principles of software evolution as processes of semantical stability, expansion and contraction, we continue with an example illustrating how it is possible to integrate metalevel with base ...
Ján Kollár, Emília Pietriková
openaire   +2 more sources

Code building genetic programming [PDF]

Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020
In recent years the field of genetic programming has made significant advances towards automatic programming. Research and development of contemporary program synthesis methods, such as PushGP and Grammar Guided Genetic Programming, can produce programs that solve problems typically assigned in introductory academic settings.
Edward R. Pantridge, Lee Spector
openaire   +2 more sources

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source

Hydropower Unit Commitment Using a Genetic Algorithm with Dynamic Programming

Energies, 2023
This study presents a genetic algorithm integrated with dynamic programming to address the challenges of the hydropower unit commitment problem, which is a nonlinear, nonconvex, and discrete optimization, involving the hourly scheduling of generators in ...
Shuangquan Liu, Pengcheng Wang, Zifan Xu, Zhipeng Feng, Congtong Zhang, Jinwen Wang, Cheng Chen   +6 more
doaj   +1 more source

Polytypic Genetic Programming [PDF]

, 2017
Program synthesis via heuristic search often requires a great deal of ‘boilerplate’ code to adapt program APIs to the search mechanism. In addition, the majority of existing approaches are not type-safe: i.e. they can fail at runtime because the search mechanisms lack the strict type information often available to the compiler.
Jerry Swan, Krzysztof Krawiec, Neil Ghani   +2 more
openaire   +2 more sources

A genetic programming ecosystem [PDF]

Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001, 2005
Algorithms are needed in every aspect of parallel computing. Genetic Programming is an evolutionary technique for automating the design of algorithms through iterative steps of mutation and crossover operations on an initial population of randomly generated computer programs.
Judith Ellen Devaney, John G. Hagedorn, Olivier Nicolas, Gagan Garg, Aurelien Samson, Martial Michel   +5 more
openaire   +1 more source

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar, Karen Thibaudeau, Mary Mathias, Heather McDaniel, Madlen Reschke, Klaus Tenbrock, Joseph M. Parker, Amy Shapiro   +7 more
wiley   +1 more source