v0.8.0

Added

• [breaking] add the test problem library: 16 classic functions and 13 classic multi-objective problems (#177)
• add the engineering design problems and CEC 2006's g01-g06 (#191)
• record the examples' output and a trace of each run, with the population in python's progress (#194)
• (site) draw the berlin52 tour on a map of Berlin's districts (#242)
• add genoxide's logo, wordmark and banner, and use them in the READMEs, on docs.rs and on the docs site (#247)
• change a GA's rates and operators between generations (#248)
• re-evaluate a GA's population when the fitness function changes (#249)
• add examples for the 20 problems of batches 1-3 that had none, with a grid plot on the project pages (#252)
• an example of its own for each of the 25 problems of batches 1-3 that had none (#253)
• an overall benchmark score, and the interactive results linked from the README (#255)
• [breaking] genoxide::math, the same to the bit on every platform, and the test problems use it (#263)

Fixed

• (python) reject NoCrossover with a mutation rate of 0, as documented (#231)
• (python) reject maximizing a test problem, read a batch's objectives from a tuple of columns, and correct the indicator docs (#233)
• skip points with NaN values in IGD+, check MOEA/D's size, and match multi-objective sizes and docs to their promises (#234)
• [breaking] truncation selects from exactly its fraction, and the engineering optima are feasible and the best known (#235)
• [breaking] count BIPOP's first run as a small one, find a relative fitness program on Unix, and name the setting in common mistakes (#238)
• (site) say which run the player plays, keep the player's focus, show the published benchmark charts, and don't publish a page without its README (#239)
• name the operator in a CLI error from its table, and check the test problems against their sources (#241)
• [breaking] an example for every problem, and SHADE's restarts, gx.De's options, CarSideImpact's best known value and four problems' ideal and nadir points (#261)

Documentation

• explain each example's problem, representation, algorithm and output (#193)
• check the examples' sources against the originals, count Kursawe's four pieces, and show the output on the docs site (#198)
• make 0.8 the test problem release in the roadmap, and describe only what exists (#230)
• describe multi-objective stagnation as it works, qualify reproducibility across platforms, and correct the example READMEs and the problems plan (#236)
• link every example to its interactive page on tachsin.gr (#250)