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dietmarwo
fcmaes

A Python 3 gradient-free optimization library

16K 158 22
Farama-Foundation
mo-gymnasium

Multi-objective Gymnasium environments for reinforcement learning

13K 380 53
nathanrooy
landscapes

A dependency free library of standardized optimization test functions written in pure Python.

650 62 15
moead-framework
moead-framework

MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.

625 31 8
LucasAlegre
morl-baselines

Multi-Objective Reinforcement Learning algorithms implementations.

474 516 102
timm
ezr

Explainable multi-objective optimization

435 5 53
AutoPyloter
harmonix-opt

Harmony Search optimization library with dependent variable spaces, engineering catalogs (ACI rebar, steel sections, concrete grades), dynamic bandwidth, crash recovery, and CSV logging.

278 1 0
AutoPyloter
pyhsds

Harmony Search optimization library with dependent variable spaces, engineering catalogs (ACI rebar, steel sections, concrete grades), dynamic bandwidth, crash recovery, and CSV logging.

131 1 0
seatonullberg
mobo

A rational and extensible algorithm for solving multi-objective optimization problems

110 0 0
RealVNF
deepcoord

DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning

104 28 15
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