上个月将70种求解单目标优化的启发式算法进行了Java实现，汇总如下：

  //the following is the list of algorithms and their series numbers (SN) in the  program**********************************

//the algorithms with SNs from 1 to 6 are proposed by Lovell He in 2023

// 1  SLLS;  snake locomotion learning search

//2  REAL;   Rotation excursion algorithm with learning

//3  MLA_SE;  Medalist Learning Algorithm with separated efficiency

//4  Hybrid of REALandSLLS; 

//5  LFEAL  Levy Flight excursion algorithm with learning

//6  the algorithms (1 to 5) with multiscale search spaces!!

//From SN 7 on, the algorithms from other researchers are considered!!___________________________

//7 GA Genetic Algorithm

//8 SA  Simulated annealing

//9 TS  TabuSearch

//10 PSO Particle Swarm Optimization

// 11 DE   Differential Evolution

//12 HS  Harmony Search

//13 SFLA Shuffled Frog-Leaping Algorithm

//14 HBMO   Honey-Bee Mating Optimization

//15 IWO  Invasive Weed Optimization

//16 BBO Biogeography-Based Optimization

//17 FA  Firefly Algorithm

//18 GSA Gravity Search Algorithm

//19 CFO Central Force Optimization

//20 PPA Plant Propagation Algorithm

//21 BA  Bat Algorithm

//22 WCA  Water Cycle Algorithm

//23 SOS  Symbiotic Organism Search 

//24 CS  Cuckoo Search with Levy Flights

//25 TLBO  Teaching-learning-based optimization

//26 GWO  Grey Wolf Optimizer

//27 WOA  Whale Optimization Algorithm

//28 BH  Black Hole Algorithm   

//29 SCA Sine Cose Algorithm

//30 GTO  Giant Trevally Optimizer

//31 GSK Gaining-sharing knowledge based algorithm 

//32 DA  Dragonfly Algorithm

//33 MFO  Moth-flame optimization algorithm 2015

//34 GOA  Grasshopper Optimization Algorithm 2017

//35 SSA  Salp Swarm Algorithm 2017

//36 CGA  Combat genetic algorithm 

//37 BBBC Big Bung-Big Crunch 

//38 ECBO Enhanced Colliding Bodies Optimization

//39 ALO  Ant Lion Optimizer

//40 TEO  Thermal Exchange Optimization

//41 EO Equilibrium Optimizer

//42 WEO Water Evaporation Optimization

//43 GMBA Global Mine Blast Algorithm   

//44 FPA Flower Pollination Algorithm

//45 MVO Multi-Verse Optimizer   

//46 JADE JADE: Adaptive Differential Evolution with Optional External Archive 2009

//47 SHADE Success-History based parameter Adaptation for Differential Evolution 2013

//48 LSHADE or L-SHADE   Improving the search performance of SHADE using Linear Population Size Reduction  2014

//49 CMA-ES  Covariance Matrix Adaptation Evolution Strategy(CMA-ES)

//50 CMAESwith IPOP  CMAEvolutionStrategy(CMAES) including restarts with increasing population size (IPOP)

//51 ABC Artificial Bee Colony algorithm

//52 ICA  Imperialist Competitive Algorithm 2007

//53 LCA  League Championship Algorithm  2014 by ALi Husseinzadeh Kashan

//54 VPS  Vibrating Particles System algorithm (VPS) 2016 by Ali Kaveh and Majid Ilchi Ghazaan

//55 RMO  Radial Movement Optimization 2014 by Rasoul Rahmani and Rubiyah Yusof

//56 BSA  Backtracking Search Optimization Algorithm for numerical optimization problems 2013 by Pinar Civicioglu

//57 SFS  Stochastic Fractal Search: A powerful metaheuristic algorithm 2014

//58 HOA  Hiking Optimization Algorithm 2024    

//59 RO  Ray Optimization 2012  by A. Kaveh, M. Khayatazad

//60 ACO  Ant Colony Optimization 1991 by Dorigo (only for discrete optimizatiom)

//61 DEO   Dolphin Echolocation optimization 2013 by Kaveh and Farhoudi   (only for discrete optimizatiom)

//62 SO  Snake optimizer 2022

//63 MKE  Monkey King Evolution 2016   

//64 CSS   Charged System Search 2010 by A. Kaveh and S. Talatahari

//65 Jaya  Jaya  (2016) by R. Venkata Rao

//66 LJA  Levy flight Jaya algorithm (2021) 

//67 LCBO   Life choice-based optimizer  (2019)

//68 TWO Tug of War Optimization 2016

//69 OTWO Opposition-based tug of war optimization 2020

//70 CRO or OCRO Coral Reefs Optimization algorithm 2014 and Opposition-based CRO 2019

//the following are the new algorithms proposed by Lovell He   ************************

//71 VLA Various Learning Algorithm by Lovell He 2024

//72 AVLA Adaptive Various Learning Algorithm He 2024

 //73 AVLA_Archive this is the algorithm extended from 72 by using archive!!

除上述单目标优化算法， 将将如下15种求解多目标优化的算法进行了Java实现（为去年的工作）：

                                            //1 is SLLS; 

                                            //2 is REAL;

                                            //3 is MLA; 

                                            //4 is the LFEAL; 

                                            //5  NSGA2; 

                                            //6 NSGA3;

                                            // 7 APNsgaIII; 

                                           //8 GenticAlgorithm

                                           //9 NSGA2 from the GA group

                                           //10 Ngra; 

                                           //11 Hgasso

                                           //12 Emosoa; 

                                           //13 GaQpso

                                          //14 Cso;     

                                          //15 Amga2