Scientific Research Publishing

Central Force Optimization Applied to the PBM Suite of Antenna Benchmarks ()

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
IEEE

A Comprehensive Review of Transformer Design Optimization Using Evolutionary Algorithms: Advances, Challenges, and Future Directions

Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
GitHub

LLM-driven solution evolutionary optimization toolkit

EvoToolkit is a Python library that leverages Large Language Models (LLMs) to evolve solutions for optimization problems. It combines the power of evolutionary algorithms with LLM-based solution ...
IEEE

An Evolutionary Multi-objective Optimization Algorithm with Variable Consistency Strategy

Abstract: Evolutionary multi-objective optimization (EMO) algorithms generate diverse Pareto optimal solutions to comprehensively approximate the Pareto front. However, an excessive number of diverse ...

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

Sequence-Based AI for Rapid Evaluation of Small Molecules and Antibodies” SAN FRANCISCO , CA, UNITED STATES, January 14, 2026 /EINPresswire.com/ — Ainnocence today announced a major milestone in ...