Evolutionary simulation

Part 2 book "Applied chemistry and chemical engineering (Vol 2 - Principles, methodology and evaluation methods)" includes content: Protein structure prediction, 3D simulation of electrospun nanofiber jet, fructose and its impact on the diffusion of electrolytes in aqueous systems, application of evolutionary multiobjective optimization in designing chemical engineering and petroleum engineering systems and its wide technological vision - A critical overview and a broad scientific perspective

214p muasambanhan09 16-03-2024 3 1   Download

Ebok "Handbook of neuroevolution through erlang" presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang. With a foreword written by Joe Armstrong, this handbook offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system.

836p manmanthanhla0201 26-02-2024 2 1   Download

Continued part 1, part 2 of ebook "Applied simulation and optimization: In logistics, industrial and aeronautical practice" has presents the following content: scheduling problems; integrated solutions for delivery planning and scheduling in distribution centres; large neighbourhood search and simulation for disruption management in the airline industry; evolutionary approach with simulation for the improvement of check-in desk allocation in facilities;...

182p dieptieuung 19-07-2023 2 1   Download

The Advanced Boiling Water Reactor (ABWR) is an established evolutionary water reactor that has successfully achieved design certification in a number of countries. However, core design information is scarce in the open literature and this makes studying the suitability of new fuel types difficult and complicates comparisons with other reactor systems.

13p vironald 15-12-2022 6 4   Download

In this paper, we consider a decision support system for small hydropower systems with the implementation of more advanced rescheduling, control and forcasting in small hydroelectric system Therefore, a mathematical model is developed. Particularly, this model uses real-time information of dams.

7p vishivnadar 17-01-2022 14 1   Download

This paper presents the application of an evolutionary simulated annealing (ESA) method to design a small 200 MWt reactor core. The core design is based on a reference ACPR50 reactor deployed in a floating nuclear power plant. The core consists of 37 typical 17x17 PWR fuel assemblies with three different U-235 enrichments of 4.45, 3.40 and 2.35 wt%.

8p princessmononoke 29-11-2021 10 1   Download

Deciphering the history of life on Earth has long been regarded as one of the most central tasks in biology. In past years, widespread discordance between the evolutionary histories of different groups of orthologous genes of prokaryotes have been revealed, primarily due to horizontal gene transfers (HGTs). Nonetheless, evidence that support a strong tree-like signal of evolution have been uncovered, despite the presence of HGT events. Therefore, a challenging task is to distill this tree-like signal from the noise induced by all sources of non-tree-like events.

11p vitzuyu2711 29-09-2021 8 1   Download

Forward-time population genetic simulations play a central role in deriving and testing evolutionary hypotheses. Such simulations may be data-intensive, depending on the settings to the various parameters controlling them. In particular, for certain settings, the data footprint may quickly exceed the memory of a single compute node.

12p viwyoming2711 16-12-2020 13 2   Download

In population genetics, simulation is a fundamental tool for analyzing how basic evolutionary forces such as natural selection, recombination, and mutation shape the genetic landscape of a population.

13p viwyoming2711 16-12-2020 16 0   Download

Phylogenetic comparative analyses usually rely on a single consensus phylogenetic tree in order to study evolutionary processes. However, most phylogenetic trees are incomplete with regard to species sampling, which may critically compromise analyses.

11p viwyoming2711 16-12-2020 9 0   Download

Coalescent simulation is pivotal for understanding population evolutionary models and demographic histories, as well as for developing novel analytical methods for genetic association studies for DNA sequence data. A plethora of coalescent simulators are developed, but selecting the most appropriate program remains challenging.

14p viwyoming2711 16-12-2020 9 0   Download

Popular bioinformatics approaches for studying protein functional dynamics include comparisons of crystallographic structures, molecular dynamics simulations and normal mode analysis. However, determining how observed displacements and predicted motions from these traditionally separate analyses relate to each other.

11p vikentucky2711 26-11-2020 11 1   Download

Founder populations have an important role in the study of genetic diseases. Access to detailed genealogical records is often one of their advantages. These genealogical data provide unique information for researchers in evolutionary and population genetics, demography and genetic epidemiology.

10p vikentucky2711 24-11-2020 20 1   Download

Insertions and deletions (indels) account for more nucleotide differences between two related DNA sequences than substitutions do, and thus it is imperative to develop a method to reliably calculate the occurrence probabilities of sequence alignments via evolutionary processes on an entire sequence.

21p vioklahoma2711 19-11-2020 18 2   Download

Structural variations (SVs) are wide-spread in human genomes and may have important implications in disease-related and evolutionary studies. High-throughput sequencing (HTS) has become a major platform for SV detection and simulation serves as a powerful and cost-effective approach for benchmarking SV detection algorithms.

8p vioklahoma2711 19-11-2020 17 2   Download

The joint interaction of those two components yields a very efficient procedure for solving the FJSSP. An important step in the development of the algorithm was the selection of the right MOEA. Candidates were tested on problems of low, medium and high complexity. Further analyses showed the relevance of the search algorithm in the hybrid structure.

12p toritori 11-05-2020 15 0   Download

This paper discusses various metaheuristic techniques such as evolutionary approach, Ant colony optimization, simulated annealing, Tabu search and other recent approaches, and their applications to the vicinity of group technology/cell formation (GT/CF) problem in cellular manufacturing. The nobility of this paper is to incorporate various prevailing issues, open problems of meta-heuristic approaches, its usage, comparison, hybridization and its scope of future research in the aforesaid area.

36p toritori 11-05-2020 21 2   Download

Policyholder capability to easily and promptly change their insurance cover, in terms of contract conditions and provider, has substantially increased during last decades due to high market competency levels and favourable regulations. Consequently, policyholder behaviour modelling acquired increasing attention since being able to predict costumer reaction to future market’s fluctuations and company’s decision achieved a pivotal role within most mature insurance markets.

30p cothumenhmong4 24-03-2020 42 4   Download

In this paper, we present a distributed and scalable evolutionary game played by autonomous mobile ad hoc network (MANET) nodes to place themselves uniformly over a dynamically changing environment without a centralized controller. A node spreading evolutionary game, called NSEG, runs at each mobile node, autonomously makes movement decisions based on localized data while the movement probabilities of possible next locations are assigned by a forced-based genetic algorithm (FGA).

12p kethamoi1 20-11-2019 27 0   Download

This paper presents an improved Teaching Learning Based Optimization (TLO) and a methodology for obtaining the edge maps of the noisy real life digital images. TLO is a population based algorithm that simulates the teaching–learning mechanism in class rooms, comprising two phases of teaching and learning. The ‘Teaching Phase’ represents learning from the teacher and ‘Learning Phase’ indicates learning by the interaction between learners.

11p kequaidan1 16-11-2019 33 0   Download