In this paper, we propose a coevolutionary dual optimization (CEDO) algorithm for co- evolving two populations – one involving Lagrange multipliers and other ...
Sep 25, 2012 · In this paper, we propose a coevolutionary dual optimization (CEDO) algorithm for co-evolving two populations—one involving Lagrange multipliers ...
In solving certain optimization problems, the corresponding Lagrangian dual problem is often solved simply because in these problems the dual problem is ...
In solving certain optimization problems, the corresponding Lagrangian dual problem is often solved simply because in these problems the dual problem is ...
Solving dual problems using a coevolutionary optimization algorithm
link.springer.com › content › pdf
Sep 25, 2012 · The development of a coevolutionary approach, revealing the presence or absence of duality gap in a number of commonly-used test problems, and ...
In this paper, we propose a coevolutionary dual optimization (CEDO) algorithm for co-evolving two populations—one involving Lagrange multipliers and other ...
Sep 19, 2024 · We propose a new dual-population coevolutionary algorithm to address these issues. The auxiliary population helps the main population locate ...
Bibliographic details on Solving dual problems using a coevolutionary optimization algorithm.
Oct 22, 2024 · A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective ...
To address these issues, this paper introduces a manifold assisted coevolutionary algorithm for solving CMOPs. Firstly, a guided feasible search strategy is ...