Jinfenglai enhances platform stability through technological innovation, revealing the underlying technical driving forces.

ABSTRACT In this paper, we present a branch and bound-based technique for generating the nondominated set for the multi-objective assignment problem. The approach utilizes the Hungarian algorithm to ...

Implementation of a model for multi-objective sustainable waste collection optimization, using epsilon-constraint method and MOSA-MOIWOA.

This paper aims to solve multi-objective problems by Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm (RasID-GA). Problems with multi-objectives are ...

Finally, the effectiveness and superiority of the the proposed optimization method are verified by the experiment results on some stand test problems and the optimization problem for the oil-gas ...

Many decision making situations are characterized by a hierarchical structure where a lower-level (follower) optimization problem appears as a constraint of the upper-level (leader) one. Such kind of ...

Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...

To address these difficulties, this paper develops a co-evolutionary algorithm to solve the constrained many-objective optimization problem of optimal power flow, which evolves three populations with ...

Abstract Multi -goal and multi-objective optimizations are similar techniques to achieve multiple conflicting goals/objectives simultaneously. There are several techniques for solving multi-goal and ...

Regulwar and Kamodkar [8] derived a fuzzy constrained reservoir operation model for multi-purpose reservoir. Model is useful in dealing with imprecise constraints. Yesmin and Alim [9] presented an ...