Optimizing your Pokemon Lineup with Pareto Frontier

Using Kaggle’s Pokemon with stats dataset, we will use optimization techniques to help us find the best lineup. Note — we will only be working with Gen 1 Pokemon. Also the stats are based off the…

Joseph MAHONEY, Director of Engineering and Associate Professor, Ph.D., Alvernia University, Pennsylvania, Engineering

OptaPlanner User Guide

Feedbackloop-first Rationality — LessWrong

AI #11: In Search of a Moat — LessWrong

OptaPlanner User Guide

An evolutionary stochastic discrete time-cost trade-off method

Performance Profiles - Rescale

113 Health & Fitness Tips That Work - The Healthy Executive

How Can You Tell if Your Recommender System Is Any Good?, by Daniel Saunders

Best Pitch Deck Examples — Best Pitch™

Battle Frontier Advice: Which 3 of these 6 are most viable for Battle Tower / Battle Pike? : r/PokemonEmerald

An evolutionary stochastic discrete time-cost trade-off method

GitHub - ben-var/Pokemon-Team-Optimizer: This program will suggest additions to a Pokemon team based on your current team.

Memory and Learning Archives - The Universe Of Memory