All problem-solving techniques hope to not only find solutions to a given problem or challenge but to find the best solution. When it comes to finding a solution, groups are invited to put on their decision-making hats and really think about how a proposed idea would work in practice. The...
where D is the number of fragments in the solution. 4.1.2 Smith-Waterman algorithm This is a dynamic program [21] based Local Sequence Alignment algorithm. This algorithm contains three steps: (a) matrix initialization, (b) filling the matrix with the suitable scores, and (c) sequence backtr...
The high-quality initial population will accelerate the solution speed of the algorithm and improve the accuracy of the optimal solution. Thus, the elite backward learning strategy33 is introduced to generate the position matrix of the initial population. Suppose the elite individual of the population...
setting clear timelines, assigning responsibilities, and identifying the resources required for implementation. Also, involve stakeholders in the action plan's development to get their support for the solution's success.
Finding the ideal solution for high complexity optimization problems increases the cost (time, memory, etc.). The methods used in solving optimization problems are divided into two categories: deterministic and stochastic. Deterministic methods use gradient methods to reach the ideal solution. ...
if this is the case, this matrix as a new starting point for the further search. this is not the case, the old zuordnungsmatrix as a starting point for the further search is maintained.this approach as is continued until the solution to the available time has elapsed, or to the ...
This vector is the only solution of Eq. (23) for i=0 because B¯0[−n:,−n:] is an upper-triangular matrix (note that B¯0 is the Hermite normal form) and A[−n:,:] is invertible in Z2. Suppose that for all j...
The main complication of the optimization problem (1)–(9) is associated with the non-convexity of the solution space mainly caused by the active and reactive power balance constraints and the nonlinear dependence of the admittance matrix with the transformer taps [9,36]. Additional to these com...
This problem involves finding the shortest closed tour (path) through a set of stops (cities). In this case there are 200 stops, but you can easily change the nStops variable to get a different problem size. You'll solve the initial problem and see that the solution has subtours. This...
The matrix in modern (advanced) composite laminates is not strong enough to shear the load from fibers that terminated on the side of the test coupon into other fibers to carry the load to the end of the specimen. This is explained in Figure 2; even a one-degree misalignment in fiber ...