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| 1 | Archery Algorithm:A Novel Stochastic Optimization Algorithm for Solving Optimization Problems显示文摘Finding a suitable solution to an optimization problem designed in science is a major challenge.Therefore,these must be addressed utilizing proper approaches.Based on a random search space,optimization algorithms can find acceptable solutions to problems.Archery Algorithm(AA)is a new stochastic approach for addressing optimization problems that is discussed in this study.The fundamental idea of developing the suggested AA is to imitate the archer’s shooting behavior toward the target panel.The proposed algorithm updates the location of each member of the population in each dimension of the search space by a member randomly marked by the archer.The AA is mathematically described,and its capacity to solve optimization problems is evaluated on twenty-three distinct types of objective functions.Furthermore,the proposed algorithm’s performance is compared vs.eight approaches,including teaching-learning based optimization,marine predators algorithm,genetic algorithm,grey wolf optimization,particle swarm optimization,whale optimization algorithm,gravitational search algorithm,and tunicate swarm algorithm.According to the simulation findings,the AA has a good capacity to tackle optimization issues in both unimodal and multimodal scenarios,and it can give adequate quasi-optimal solutions to these problems.The analysis and comparison of competing algorithms’performance with the proposed algorithm demonstrates the superiority and competitiveness of the AA. | Fatemeh Ahmadi Zeidabadi Mohammad Dehghani Pavel Trojovsky Štěpán Hubálovsky Victor Leiva Gaurav Dhiman | 2022 | Computers, Materials & Continua2022，，7： | 2 |
| 2 | Part II: Control theory for buffer sizing 显示文摘 | GAURAV R DON T DAMON W | 2005 | ACM SIGCOMM Computer Communica- tion Review2005，35，3： | 1 |
| 3 | Constraint-based ACO for a shared resource constrained scheduling problem显示文摘 | Dhananjay Thiruvady Gaurav Singh Andreas T | 2013 | International Journal of Production Economics2013，141，1： | 1 |
| 4 | Performance evaluation of Levenberg-Marquardt technique in error reduction for diabetescondition classification显示文摘 | Khan N Gaurav D Kandl T | 2013 | Procedia Computer Science2013，18，： | 1 |
| 5 | Digital color image显示文摘 | Gaurav S Joel T H | 1997 | IEEE Transaction on Image Processing1997，6，7： | 1 |
| 6 | Personalized location-based brokering using an agent-based intermediary architecture显示文摘 | Gaurav T Jim Y Pattie M | 2002 | Decision Support Systems2002，34，： | 1 |
| 7 | Beam type hexapod structure based six component force-torque sensor显示文摘 | DWARAKANATH T A GAURAV B | 2011 | Mechatronics2011，21，8： | 1 |
| 8 | The synchrosqueezing algorithm for time-varying spectral analysis:Robustness properties and new paleoclimate applications显示文摘 | GAURAV T EUGENE B NEVEN S F | 2012 | Signal Processing2012，93，5： | 1 |
| 9 | Dynamic designthrough modal modals obtained by operational modal analy-sis 显示文摘 | Modak S V Kundra T K Singh Gaurav | 2012 | Advances in Vibration Engineering2012，11，1： | 1 |
| 10 | Personalized location-based brokering using an agent-based intermediary architecture显示文摘 | Gaurav T Jim Y Pattie M | 2002 | Decision Support Systems2002，34，2： | 1 |
| 11 | Personalized location-- based brokering using an agent--based intermediary architecture显示文摘 | Gaurav T Jim Y Pattie M | 2003 | Deci-sion Support Systems2003，34，2： | 1 |
| 12 | An image retrieval system with automatic query modification 显示文摘 | GAURAV A ASHWIN T V SUGATA G | 2002 | IEEE Trans on Multimedia2002，4，2： | 1 |
| 13 | Membranes of Polyvinylidene Fluoride and PVDF Nanocomposites with Car- bon Nanotubes via Immersion Precipitation显示文摘 | GAURAV M DILHAN M K FRANK T F | 2008 | Journal of Nanomaterials2008，，2008： | 1 |
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