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The Annals of Applied Probability, 1996 Summary: Here is a new genetic algorithm. It is built by perturbing randomly a two operator crossover-selection scheme. A new selection mechanism is used. The random vanishing perturbations are twofold: local perturbations of the individuals (mutations) and loosening of the selection pressure.
Raphaël Cerf
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Competent genetic-evolutionary optimization of water distribution systems [PDF]
, 2001 A genetic algorithm has been applied to the optimal design and rehabilitation of a water distribution system. Many of the previous applications have been limited to small water distribution systems, where the computer time used for solving the problem ...
Simpson, A., Wu, Z.
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Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm [PDF]
, 2007 This paper compares particle swarm optimization and a genetic algorithm for perception by a partner robot. The robot requires visual perception to interact with human beings.
Kubota, Naoyuki, Sulistijono, Indra Adji
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Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. [PDF]
, 2012 A limitation in traditional stepwise population pharmacokinetic model building is the difficulty in handling interactions between model components. To address this issue, a method was previously introduced which couples NONMEM parameter estimation and ...
Belani, Chandra P +12 more
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Higher-Order Quantum-Inspired Genetic Algorithms [PDF]
, 2014 This paper presents a theory and an empirical evaluation of Higher-Order Quantum-Inspired Genetic Algorithms. Fundamental notions of the theory have been introduced, and a novel Order-2 Quantum-Inspired Genetic Algorithm (QIGA2) has been presented ...
Kucharski, Jacek, Nowotniak, Robert
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Aligning Multiple Sequences with Genetic Algorithm [PDF]
, 2009 The alignment of biological sequences is a crucial tool in molecular biology and genome analysis. It helps to build a phylogenetic tree of related DNA sequences and also to predict the function and structure of unknown protein sequences by aligning ...
Adebiyi, E. F. +2 more
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Desain Kontroler PID-Genetic Algorithm untuk Sistem Pengaturan Level Air Steam Drum pada Pembangkit Listrik Tenaga Uap (PLTU) [PDF]
, 2017 Perubahan laju aliran uap menimbulkan gangguan pada sistem pengaturan level air steam drum. Level air dijaga pada titik tengah ketinggian drum atau disebut Normally Water Level (NWL), agar uap yang dihasilkan memenuhi spesifikasi serta tidak merusak ...
Fatoni, A. (Ali) +2 more
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A Novel Genetic Algorithm using Helper Objectives for the 0-1 Knapsack Problem [PDF]
, 2014 The 0-1 knapsack problem is a well-known combinatorial optimisation problem. Approximation algorithms have been designed for solving it and they return provably good solutions within polynomial time.
Dong, Hongbin, He, Feidun, He, Jun
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Finite State Machine Synthesis for Evolutionary Hardware
, 2013 This article considers application of genetic algorithms for finite machine synthesis. The resulting genetic finite state machines synthesis algorithm allows for creation of machines with less number of states and within shorter time.
Bereza, Andrey +2 more
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Mining Frequent Itemsets Using Genetic Algorithm
, 2010 In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent ...
Biswas, Sushanta +3 more
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