Results 21 to 30 of about 235,286 (321)

Chaotic Evolutionary Programming for an Engineering Optimization Problem

Applied Sciences, 2021
The aim of the current paper is to present a mimetic algorithm called the chaotic evolutionary programming Powell’s pattern search (CEPPS) algorithm for the solution of the multi-fuel economic load dispatch problem.
Nirbhow Jap Singh, Shakti Singh, Vikram Chopra, Mohd Asim Aftab, S. M. Suhail Hussain, Taha Selim Ustun   +5 more
doaj   +1 more source

A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming

Frontiers in Neuroscience, 2020
Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs.
Tingyang Wei, Jinghui Zhong, Jinghui Zhong   +2 more
doaj   +1 more source

A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment

IEEE Access, 2022
Dispatching rules are most commonly used to solve scheduling problems under dynamic conditions. Since designing new dispatching rules is a time-consuming process, it can be automated by using various machine learning and evolutionary computation methods.
Lucija Planinic, Hrvoje Backovic, Marko Durasevic, Domagoj Jakobovic   +3 more
doaj   +1 more source

Multi-objective evolutionary search strategies in constraint programming

Operations Research Perspectives, 2021
It has been shown that evolutionary algorithms are able to construct suitable search strategies for classes of Constraint Satisfaction Problems (CSPs) in Constraint Programming.
Robert Bennetto, Jan H van Vuuren
doaj   +1 more source

The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming

Applied Sciences, 2022
Among the evolutionary methods, one that is quite prominent is genetic programming. In recent years, a variant called geometric semantic genetic programming (GSGP) was successfully applied to many real-world problems.
Mauro Castelli, Luca Manzoni, Luca Mariot, Giuliamaria Menara, Gloria Pietropolli   +4 more
doaj   +1 more source

Supply Chain Management Using Evolutionary Algorithms [PDF]

Problemi Ekonomiki
The era of digital transformation has made it possible to accumulate large amounts of data that can be used in the decision-making process, in particular in supply chain management.
Skitsko Volodymyr I., Voinikov Mykola Yu.   +1 more
doaj   +1 more source

Meta-heuristic algorithms in car engine design: a literature survey [PDF]

, 2015
Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H., Xu, Hongming, Yao, Xin   +2 more
core   +2 more sources

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

Modeling and Solving for Multi-Satellite Cooperative Task Allocation Problem Based on Genetic Programming Method

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, Wenyuan Yang, Lining Xing, Feng Yao   +3 more
doaj   +1 more source

Event-based graphical monitoring in the EpochX genetic programming framework [PDF]

, 2013
EpochX is a genetic programming framework with provision for event management – similar to the Java event model – allowing the notification of particular actions during the lifecycle of the evolutionary algorithm. It also provides a flexible Stats system
Castle, Tom, Johnson, Colin G., Otero, Fernando E.B., Vaseux, Loic   +3 more
core   +1 more source