The chemical properties of copolymers are strongly influenced by a number of intrinsic characteristics, such as their molecular weight and their monomer composition ratio. Identifying the optimal ...

To address these limitations, PMODiff (P hysics-Informed M ulti-Objective O ptimization Diff usion Model) integrates a physics-informed component into the denoising phase, minimizing protein–ligand ...

In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...

Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved evolutionary algorithm ...

Since most multi-objective optimization problems in real-world applications contain constraints, constraint-handling techniques (CHTs) are necessary for a multi-objective optimizer. However, existing ...

In recent years, research combining multi-objective evolutionary algorithms with machine learning technology has shown great potential, opening up new prospects for improving the performance of ...

3) The multi-objective benchmark functions are employed to verify the performance of IM-TLBO. To demonstrate the effectiveness of proposed PV integration method, the IEEE33-bus system is employed to ...

The Multi-Objective Constrained Shortest Path (MOCSP) problem aims to find all Pareto-optimal paths in a multi-objective shortest path problem under multiple constraints.

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