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As a McKinsey consultant, Leite helps companies in the banking, media, and health sectors solve strategy, operations, organizational, and finance problems.
It has helped many solve what has plagued boardrooms for decades, a problem that just 1 company in 10 can effectively solve: strategy execution.
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So, the deadlock solving strategy is not unique.
Each individual V i represents a probable deadlock solving strategy.
This solving strategy is called the ℓ1-norm minimization in this paper.
A solving strategy that integrates model relaxation, solver selection, and tube-pass scheme initialization is proposed.
After that, a co-evolutionary genetic algorithm (CGA) is developed to search the optimal deadlock solving strategy.
Furthermore, the information in the model allows to select the most appropriate solving strategy for a particular design synthesis problem.
In this paper, a hierarchical multiobjective cooperative problem solving strategy is proposed for process synthesis and optimization.
A new solving strategy was developed for the final problem, making easier the search for guess solutions.
In this work, a Lexicographic Goal Programming problem modeling this integration is introduced, together with a solving strategy.
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