3,0.1)foriinrange(num):ori_w_p_x=random.choice(ori_w_range_x)ori_w_p_y=random.choice(ori_w_range_y)ori_w_p=[ori_w_p_x,ori_w_p_x]#wolves_dict['wolf_'+str(i)]=[ori_w_p[0],ori_w_p[1],get_fitness(ori_w_p)]wolves_dic
Code importnumpyasnpimportrandomimportcopydefget_fitness(ori_w_p):# 设置适应度函数# return np.absolute(np.sin(ori_w_p[0])*np.cos(ori_w_p[1]) + np.sin((ori_w_p[0]-10)/10)*2 + np.sin((ori_w_p[1]-10)/10))*2returnnp.sin(ori_w_p[0]**2)+np.cos(ori_w_p[1]**2...
Python This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided. data-miningclassificationmetaheuristicsgrey-wolf-optimizerflower-pollination-algorithmwhale-optimization-algorithmsalp-swarm...
To address this issue, this work proposes a publicly available and advanced intelligent optimization algorithm. Our approach reduces calculation complexity and achieves high accuracy in evaluating petrophysical properties, including shaly sand reservoirs, without relying on costly software services from oil ...
data-miningclassificationmetaheuristicsgrey-wolf-optimizerflower-pollination-algorithmwhale-optimization-algorithmsalp-swarm-algorithmsine-cosine-algorithm UpdatedJan 10, 2021 Python salar-shdk/nia Sponsor Star28 Code Issues Pull requests Nature Inspired Optimization Algorithms ...
and resource usage cost. The formulated problem is proven to be an NP-hard one. Thus, we develop an evolutionary meta-heuristic solution for the offloading problem, namely WOLVERINE, based on a Binary Multi-objective Grey Wolf Optimization algorithm that achieves a feasible solution within polynomia...
algorithm is based on the actual nonlinear model, which takes the minimum average value of reprojection error as the objective function. The grey wolf position is randomly generated within a given range. Then, the grey wolf optimization algorithm based on levy flight and mutation mechanism is used...
This theoretical adjustment enhances the exploration capabilities of the algorithm, making it less likely to get trapped in local optima early in the process. Improved Exploration and Exploitation The Enhanced Grey Wolf Optimization (EGWO) algorithm modified the omega wolf position update which ...
A python library for: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Cuckoo Search,
🕸 CNN + 🛍 BoVW + 💼 BoCF + 🐺 Grey Wolf Optimization & Comparision ⚖ - Grv-Singh/Bag-of-Covolutional-Features