Example for linear search in C to search an element in the array of numbers for multiple occurrences- Code: #includeintLinear_search(intarr[],intn,intval){intidx,count=0;for(idx=0;idx<n;idx++){if(arr[idx]==val){printf("%d is found at index %d.\n",val,idx);count++;}}returnco...
In 2022, Khan et al.10 proposed a non-deterministic meta-heuristic algorithm called Non-linear Activated Beetle Antennae Search (NABAS) for a non-convex tax-aware portfolio selection problem. Brajević et al.11 proposed a hybridization of the sine cosine algorithm (HSCA) in 2022 to solve ...
At present, most heuristic algorithms are based on an imitation of natural algorithms, such as the ant colony optimization (ACO), SA, evolutionary algorithm (EA), etc. In addition, in terms of UAV trajectory planning, the covering path planning algorithm (CPP) and cuckoo search algorithm (CS...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
A Reduction Algorithm is a method used in computer science to decrease the number of scenarios considered in stochastic models, aiming to enhance efficiency by selecting a subset of scenarios with adjusted probabilities based on specific criteria. ...
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The imple- mentation example shows that the area-time product of the proposed 28th-order lowpass filter is about 2-17% smaller than those of the other local search algorithms. In addition, the other implementation example shows that the area-time product of the proposed 31st-order Hilbert ...
adjacent_find all_of any_of binary_search copy copy_backward copy_if copy_n count count_if equal equal_range fill fill_n find find_end find_first_of find_if find_if_not for_each generate generate_n includes inplace_merge is_heap is_heap_until is_partitioned is_permutation is_sorted is...
They select either the best search agent or a random whale as their target and move towards it. This action is introduced in Eqs. 80 and 81. (80)D→=|C→.X∗→(t)-X→(t)| (81)X→(t+1)=X∗→(t)-A→·D→ where A→ and C→ are vectors of coefficients, t is the ...
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...