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The new algorithm, MultiObjective Simulated Annealing with new Generation and Reannealing procedures (MOSA-GR), is a trajectory-based algorithm, where, in a first phase, diversified generation strategies are used to define candidate solutions at different stages of the search procedure.
Feb 25, 2020
Dec 6, 2006 · A new multiobjective simulated annealing algorithm for continuous optimization problems is presented. The algorithm has an adaptive cooling ...
The proposed algorithm utilizes a recently developed simulated annealing based multiobjective optimization technique, AMOSA, as the underlying optimization ...
This paper presents a simulated annealing multiobjective algorithm developed to include novel features for promoting the convergence toward the best Pareto ...
Dec 6, 2006 · In this manuscript, a new multiobjective simulated annealing algorithm is presented. Algorithm is based on the single objective simulated ...
A New Multiobjective Simulated Annealing Algorithm—MOSA‐GR
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This paper presents a simulated annealing multiobjective algorithm developed to include novel features for promoting the convergence toward the best Pareto ...
A new multiobjective simulated annealing algorithm for continuous optimization problems is presented. The algorithm has an adaptive cooling schedule and ...
Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of locating a good approximation to the global optimum of ...
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May 28, 2008 · This paper describes a simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of ...
This paper describes a novel implementation of the Simulated Annealing algorithm designed to explore the trade-off between multiple objectives in optimization ...