Add in print GPTP chapter

Author: mmore500

_data/effluvia.yml

@@ -1,6 +1,9 @@
 - title: "📚 Journal Publications"
   slug: "journal"
   open: true
+- title: "📖 Book Chapters"
+  slug: "chapter"
+  open: true
 - title: "🧳 Conference Papers"
   slug: "conference"
   open: true

blog_efflux/_posts/2023-07-24-moreno2024methods.md

@@ -0,0 +1,45 @@
+---
+layout: efflux
+title: "Methods for Rich Phylogenetic Inference Over Distributed Sexual Populations"
+date: 2023-07-24
+permalink: "/pubs/:title"
+category: chapter
+download: https://github.com/mmore500/hstrat-recomb-concept/releases/download/v1.1.1/hstrat-recomb-concept.pdf
+view_publisher: https://link.springer.com/book/9789819984121
+authors:
+  - Matthew Andres Moreno
+venue: Genetic Programming Theory and Practice XX
+projects:
+  - hstrat
+abstract: |
+  The structure of relatedness among members of an evolved population tells much of its evolutionary history.
+  In application-oriented evolutionary computation (EC), such phylogenetic information can guide algorithm selection and tuning.
+  Although traditional direct tracking approaches provide the perfect phylogenetic record, sexual recombination complicates management and analysis of this data.
+  Taking inspiration from biological science, this work explores a reconstruction-based approach that uses end-state genetic information to estimate phylogenetic history after the fact.
+  We apply recently-developed "hereditary stratigraphy" genome annotations to lineages with sexual recombination to design devices germane to species phylogenies and gene trees.
+  As shown through a series of validation experiments, proposed instrumentation can discern genealogical history, population size changes, and selective sweeps.
+  Fully decentralized by nature, these methods afford new observability at scale, in particular, for distributed EC systems.
+  Such capabilities anticipate continued growth of computational resources available to EC.
+  Accompanying open source software aims to expedite application of reconstruction-based phylogenetic analysis where pertinent.
+bibtex: |-
+  @inproceedings{moreno2024methods,
+    author    = {Moreno, Matthew Andres},
+    editor    = {Winkler, Stephan
+                and Trujillo, Leonardo
+                and Ofria, Charles
+                and Hu, Ting},
+    title     = {Methods for Rich Phylogenetic Inference Over Distributed Sexual Populations},
+    booktitle = {Genetic Programming Theory and Practice XX},
+    year      = {in print},
+    publisher = {Springer International Publishing},
+    isbn      = {978-981-99-8413-8}
+  }
+citation: in print
+supporting_materials: |
+  - [data](https://osf.io/xj5pn/) [via Open Science Framework ❋](https://osf.io)
+  - [source code](https://github.com/mmore500/hstrat-recomb-concept/tree/master) [via GitHub <i class="icon-github-1"></i>](https://github.com/)
+  - [hstrat library code](https://github.com/mmore500/hstrat/tree/v1.6.1) [via GitHub <i class="icon-github-1"></i>](https://github.com/)
+  - [conference slides](https://docs.google.com/presentation/d/1ZgkqB70hWHAu_hTCbByTgmZO8KqWdP4e/edit?usp=sharing&ouid=104286302849794528312) [via Google Slides](https://workspace.google.com/products/slides/)
+  - [presentation](https://youtu.be/-pRSWX0shT0) [via YouTube <i class="icon-video"></i>](https://youtube.com)
+  - [LaTeX source](https://github.com/mmore500/hstrat-recomb-concept/tree/master) [via GitHub <i class="icon-github-1"></i>](https://github.com/)
+---