Abstract: Surrogate-assisted evolutionary algorithms have received a surge of attentions for their promising ability of solving expensive optimization problems. Existing surrogate-assisted ...
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Cyrus Finance review: A multi-pool DeFi protocol built on AMM V3 liquidity optimization
Cyrus Finance is a next-generation multi-platform DeFi ecosystem built on an advanced curve trading model, using AMM V3 ...
Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...
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 ...
Combinatorial optimization problems in fields like logistics, finance, and computational biology are increasingly approaching the computational limits of classical methods. Many of these problems are ...
The selective oxidation of alcohols to aldehydes is a vital reaction in organic synthesis and chemical production. However, this reaction exhibits a complex reaction network influenced by temperature, ...
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 ...
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 ...
College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...
The importance of support system dynamic fidelity in capturing turbine rotor performance in unbalance response and critical speed is considered. Lobal optimization methods based on multi-scale quantum ...
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