How sequence-based AI achieve whole genome screening for billions of small molecule and antibody candidates in hours

As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...
Frontiers

Multi-objective optimization framework for sustainable olive oil supply chains: integrating environmental compliance with economic performance

1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...
SciELO

Robust Multi-objective Optimization Applied to Engineering Systems Design

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...
Game Rant

How to Get Objective Kills in COD Black Ops 7

Nathan Round, part of GameRant's talented Game Guides Team, is the leading voice for Call of Duty guides. From meta loadouts to the best weapons for each season, he takes pride in crafting top-notch ...
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 ...
IEEE

An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization

Abstract: In this paper, we address the problem of efficiently computing finite-size approximations of the set of -locally optimal solutions of a given multi-objective optimization problem (MOP). Such ...
Scientific Research Publishing

Rangel, E.O., Costa, D.G. and Loula, A. (2019) On Redundant Coverage Maximization in Wireless Visual Sensor Networks: Evolutionary Algorithms for Multi-Objective Optimization ...

ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...
Frontiers

Expression of concern: A novel cooperation multi-objective optimization approach: multi-swarm multi-objective evolutionary algorithm based on decomposition (MSMOEA/D)

With this notice, Frontiers wishes to alert readers that this article has been identified as being outside the journal’s stated scope. In accordance with our publishing policies, we have initiated an ...
IEEE

Evolutionary Dynamic Multi-Objective Optimization With Learning Across Problems

Abstract: Dynamic multi-objective optimization problems (DMOPs) are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...