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Later, Chamkalani et al. (2014) improved their approach by combining two optimization tools, viz.
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We expected to achieve good results in the TC selection problem as well, by combining two competitive optimization approaches.
The proposed hybrid optimization algorithm is constructed based on combining two well-known optimization techniques: Particle Swarm Optimization (PSO) and Simplex Method (SM).
In this variant (see appendix) the scoring function combines two different optimization targets, minimality and redundancy, by summation to a one-dimensional multiobjective fitness function.
Combining these two optimization methods, however, makes calculation complex, so an integrated interactive fuzzy program and a PSO-POA are combined to develop a hybrid-heuristic algorithm.
The algorithm combines two search and optimization strategies.
By combining these two beneficial optimizations, we generated 11 with the introduction of both C7-chlorine and thiourea.
A multiobjective optimization problem can be solved by optimizing several equations simultaneously or by combining multiple optimization targets.
The proposed algorithm fills in these holes by solving an optimization problem that combines two kinds of information: (1) the geometric information available on the surrounding of the holes, (2) the information contained in an image of the real object.
ASR system is built by combining Particle Swarm Optimization (PSO) and Stochastic Resonance (SR).
During the 1950s, Harry Markowitz developed a technique for maximizing the expected return on a portfolio of risky instruments by combining statistics and optimization theory.
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