New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
IEEE

An Improved Artificial Electric Field Algorithm for Robot Path Planning

Abstract: Effectively improving the optimization performance of artificial electric field algorithm (AEFA) and broadening its application domain can aid in providing robot path planning in 3-D complex ...
IEEE

Enhanced artificial electric field algorithm and its application in structural optimization problems

Abstract: Artificial electric field algorithm (AEFA) is a meta-heuristic optimization technique recently developed that has demonstrated efficacy in scientific research and engineering applications.
Europe PMC

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges.

As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms (MAs) have been developed to date, ...