本程序参考文献《基于改进二进制粒子群算法的机组组合问题》，是一篇硕士学位论文，程序中算例丰富，注释清晰，干货满满，下面对论文和程序作简要介绍。
文中结果：
程序结果：
部分程序：
%%%Swarm sizePOPN=SWARM_SZ; %%%POP_N provided by swarm_generator.m%%%Particles in the swarmswarm=population;%%%%Parameters for the BPSOVMAX=2;VMIN=-2;WMAX=0.9;WMIN=0.4;C1=2;C2=2;v=zeros(POPN,N*T); %%%Velocity vectorm=zeros(POPN,N*T); %%%Mapping function vectorx=zeros(POPN,N*T); %%%Position vectorMAX_K=100;[F,idx_gb]=sort(total_COST);conv_beh=zeros(1,MAX_K)%%%Inertia weight updatew=WMAX-i*((WMAX-WMIN)/MAX_K);x=swarm; %%% Initial position is the population by swarm generatorpbest=swarm; %%% Previous best position is initial positiongbest=swarm(idx_gb(1),:); %%%Global best position in current swarfit=1./F;pbest_v=fit;gbest_v=fit(idx_gb(1));v(j,k)=w*v(j,k)+C1*rand*(pbest(j,k)-x(j,k))+C2*rand*(gbest(k)-x(j,k));%%%Optimal ScheduleOPT_SOL=reshape(gbest,N,T)';%%%Economic Dispatch% %Ramping rates and POZ neglected[P_SOL_OPT,P_srv_opt,P_COST_opt,tot_gen_COST_opt,itt_opt] = F_LIM_ED(OPT_SOL',T,I,P_D,OPTS);%Ramping Rate and POZ constraints included% [P_SOL_OPT,P_srv_opt,P_COST_opt,tot_gen_COST_opt,itt_opt,~] = F_LIM_ED_RR(OPT_SOL',T,I,P_D,IDX_INS,OPTS,POZ);%%%Startup-cost[su_COST_opt,tot_su_COST_opt,~] = SU_COST(N,OPT_SOL',init_status,SU_H,SU_C,CSH,MUT,MDT);%%%%%%%%%%%%%%%%%%%%%%%%%%%%Plotting the results%%%%%%%%%%%%%%%%%%%%%%%%%%%
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