Two pointers for two sequences 986.Interval-List-Intersections (M) 1229.Meeting-Scheduler (M+) 1537.Get-the-Maximum-Score (H-) 1577.Number-of-Ways-Where-Square-of-Number-Is-Equal-to-Product-of-Two-Numbers (H-)
In order to solve the inverse kinematics (IK) of complex manipulators efficiently, a hybrid equilibrium optimizer slime mould algorithm (EOSMA) is proposed. Firstly, the concentration update operator of the equilibrium optimizer is used to guide the anisotropic search of the slime mould algorithm to...
the position of thei-th whale individual is represented asXi = (Xi,1,Xi,2, …,Xi, D), wherei ∈ 1, 2, …,N. The current best position within the population is considered the prey. Whale individuals move towards the target prey for encircling, while other individuals in the...
Six input control parameters were used such as MCN (maximum cycle number), Limit (the maximum number of trials to abandon), PS (population size), initRatio (probability ratio), C (maximum number of examples stored in the sliding window) and m (maximum number of cycles). Online ABC Miner...
The standard for a good algorithm: We remark that generally the quantity required is the worst-case time, unless otherwise specified. EXAMPLE: THE MAXIMUM SUBSEQUENCE SUM PROBLEM. Executing time: It dramatically illustrates how useless inefficient algorithms are for even moderately large amounts of in...
At the data analysis stage, the Data Miner Recipe algorithm calculates basic statistics including the mean, standard deviation, skewness, kurtosis, minimum, and maximum, for the training and testing subsamples that one can review afterward. The testing subsample constituted 20% in this project. Mode...
of violated constraints. Among those points, the algorithm chooses the point that minimizes the maximum constraint violation as the best (lowest merit function) point. This best point is the incumbent. Subsequently, until the algorithm encounters a feasible point, it uses this modification of the ...
where E indicates the escaping energy of the prey, \(E_{0}\) is its initial energy and T is the maximum number of iterations. 3.2.3 Exploitation phase Exploitation phase of the HHO algorithm includes the following steps : Soft besiege: This is the phase when the prey/rabbit still has ...
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standard deviation, and required objective function evaluations. A predefined stopping criterion is utilized, taking into account both the maximum number of objective function evaluations and the tolerance for the global best values of the problems being considered. Finally, a number of well-known stati...