Titlebook: Genetic and Evolutionary Computing; Proceedings of the T Jeng-Shyang Pan,Jerry Chun-Wei Lin,Shu-Chuan Chu Conference proceedings 2020 Sprin

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書(shū)目名稱Genetic and Evolutionary Computing影響因子(影響力)




書(shū)目名稱Genetic and Evolutionary Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Genetic and Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing被引頻次




書(shū)目名稱Genetic and Evolutionary Computing被引頻次學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing年度引用




書(shū)目名稱Genetic and Evolutionary Computing年度引用學(xué)科排名




書(shū)目名稱Genetic and Evolutionary Computing讀者反饋




書(shū)目名稱Genetic and Evolutionary Computing讀者反饋學(xué)科排名

失望昨天

Ant Colony Optimization Algorithm for Network Planning in Heterogeneous Cellular Networksrove the data rate of mobile networks for many years. In the paper, the planning problem of heterogeneous cellular network is defined and limited in two-hop relaying. The defined problem aims to tackle with three objective functions at the same time. A meta-heuristic planning algorithm is proposed b

密切關(guān)系

An Algorithm for Path Planning Based on Improved Q-Learningiest research problem was obstacle avoidance, that is, the Agent could not collide with obstacles or fall into traps in the process of path optimization. With rapid development of the AI (artificial intelligence) technology, the path planning has become an important application field to test intelli

徹底檢查

Ranking Based Opinion Mining in Myanmar Travel Domainntries like Myanmar. Therefore, a travel information support system becomes essential that construction of Myanmar travel domain has been considered to be developed which is enriching with ancient heritage and known for many natural tourist destinations. Besides, it extracts travelers’ opinions with

空氣

Energy Efficient Container Consolidation Method in Cloud Environment Based on Heuristic Algorithmnges for cloud providers. Dynamic consolidation of containers presents a significant opportunity to save energy in data centers and there are researches use optimization metaheuristic algorithm to find a near-optimal solution for this problem. However, the computation time and complexity of such alg

Hyperplasia

An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizeration and exploration. In this paper, an enhancing capability of exploration and exploitation for BA by hybridizing BA with Ant Lion Optimizer (ALO) is proposed for the global optimization problems. In the experimental section, several benchmark functions are used to test the performance of the prop

Hyperplasia

A Parallel Strategy Applied to APSOParallel strategy is an excellent method which separate the population into some subgroups, the subgroups can communicate with each other to improve algorithms’ performance significantly. In this paper, we apply a parallel method on Adaptive Particle Swarm Optimization (APSO), to further improve con

wall-stress

A Binary Particle Swarm Optimization with the Hybrid S-Shaped and V-Shaped Transfer Functionle transfer function. According to the analysis of the transfer function, the hybrid transfer functions of S-shaped and V-shaped function has been proposed to improve the BSPO, and an adaptive mutation method is used to obtain a new binary PSO with hybrid transfer function. The new Binary PSO has gl

obscurity

Method for Calculating Grounding Quantity of TN-C System Based on Multi-objective Optimizationem of the power system, and a complete solution method is given. Firstly, based on the analysis of the characteristics of the TN-C grounding system, a mathematical model for configuring the grounding position to meet the lowest investment cost and the lowest contact voltage is presented. Aiming at t

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