Billions are going into fish passage projects, but planning methods can undercut results

Fish that split their lives between fresh and salt water often face obstacles getting back and forth. Dams and roads fracture ...
Hosted on MSN

Master solving a multi-step equation with the variable on the same side

Subscribe! Want more math video lessons? Visit my website to view all of my math videos organized by course, chapter and section. The purpose of posting my free video tutorials is to not only help ...
Hosted on MSN

Master optimizing the objective function of a linear programming problem

Subscribe! Want more math video lessons? Visit my website to view all of my math videos organized by course, chapter and section. The purpose of posting my free video tutorials is to not only help ...
IEEE

Surrogate-Assisted Evolutionary Multi-Objective Optimization Grouped by Significant Influence for High-Dimensional Problems

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have demonstrated strong performance in solving low- and medium-dimensional expensive multi-objective optimization problems (EMOPs).
GitHub

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

This is the repository of the paper "Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning". For a high-level overview, check ...
Scientific Research Publishing

Sharifi, M.R., Akbarifard, S., Qaderi, K. and Madadi, M.R. (2021) A New Optimization Algorithm to Solve Multi-Objective Problems. Scientific Reports, 11, Article No. 20326.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Scientific Research Publishing

Deb, K. and Jain, H. (2014) An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems with Box ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
GitHub

Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations

This repository contains the code to run the experiments in the paper (Buckingham et al., 2025): Buckingham, J. M., Rojas Gonzalez, S., & Branke, J. (2025). Knowledge Gradient for Multi-Objective ...
VentureBeat

Sakana AI's TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a "dream team" of AI agents. The method, ...
cryptopolitan

Is Mango’s Multi-VM approach enough to solve fragmented liquidity?

DeFi still faces fragmented liquidity due to isolated blockchains and complex bridging systems. Mango Network is testing a multi-VM blockchain that runs EVM, SVM, and MoveVM on one system. Its testnet ...
IEEE

RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention

Abstract: Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO ...