Anytime Lexicographic Enumeration of the Pareto Front in Multi‐Objective Combinatorial Optimisation
ABSTRACT Multi‐objective combinatorial optimisation problems are widespread in real‐world scenarios, including resource allocation, scheduling and logistics, where multiple competing objectives need to be optimised simultaneously. In industrial contexts, lexicographic optimisation is often used to solve these problems, requiring the decision‐maker (DM)
Marco Foschini +3 more
wiley +1 more source
Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. [PDF]
Muthyala MR +4 more
europepmc +1 more source
ABSTRACT The minimum s$$ s $$‐t$$ t $$‐cut problem is one of the most‐studied problems in discrete optimization and has a unique complexity status in multi‐objective optimization. Even though the single‐objective version of the problem can be solved in polynomial time, it has been shown in the seminal work of Papadimitriou and Yannakakis (2000) that ...
Jan Boeckmann +4 more
wiley +1 more source
Multiobjective Optimization Analysis of Gas-Steam Combined Cycle Coupled with Photovoltaic-Driven Hydrogen Electrolyzer System. [PDF]
Chai L +5 more
europepmc +1 more source
ABSTRACT Chemical engineering faces an increasing imperative to integrate sustainability principles beyond traditional economic and environmental considerations. The social dimension—encompassing impacts on human well‐being, equity, community health, labor practices, and ethical governance—represents a critical yet often underdeveloped pillar within ...
José M. R. C. A. Santos
wiley +1 more source
Pareto-Driven Multiobjective Design of Axial-Flow Automotive Fan with Response Surface Modeling. [PDF]
Ren K +5 more
europepmc +1 more source
This study highlights the importance of integrating cross‐realm connectivity and threat propagation when designing new or expanding existing networks of conservation areas, such as the Natura 2000 European network of protected areas. These findings emphasize the need for multirealm planning that supports species persistence, protects transitional ...
Maria Vigo +6 more
wiley +1 more source
A tree-structured multiobjective optimization framework for constructing diagnosis-related groups. [PDF]
Cai G +5 more
europepmc +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source
Inverse design of frustrated Lewis pairs for direct catalytic CO<sub>2</sub> hydrogenation: refining and expanding design rules. [PDF]
Das S +3 more
europepmc +1 more source

