Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...

Cyrus Finance is a next-generation multi-platform DeFi ecosystem built on an advanced curve trading model, using AMM V3 ...

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

Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

300+ open source evolutionary algorithms 600+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

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 ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor ...