变邻域+模拟退火+禁忌搜索

src/main/java/com/aps/entity/Algorithm/ScheduleParams.java

@@ -15,7 +15,7 @@ public class ScheduleParams {
 
     // 基础参数（自适应调整的基准值）
     private static final int MIN_POPULATION_SIZE = 10;
-    private static final int MAX_POPULATION_SIZE = 50;
+    private static final int MAX_POPULATION_SIZE = 20;
     private static final int MIN_MAX_ITERATIONS = 50;
     private static final int MAX_MAX_ITERATIONS = 100;
     private static final float MIN_CROSSOVER_PROB = 0.6f;
@@ -172,10 +172,14 @@ public class ScheduleParams {
         // 1. 种群大小：50 ~ 500，随工序数线性增加
         populationSize = (int) Math.max(MIN_POPULATION_SIZE,
                 Math.min(MAX_POPULATION_SIZE, MIN_POPULATION_SIZE + totalOps * populationSizeCoeff));
+
+      int maxthead=  Runtime.getRuntime().availableProcessors() - 1;
+        populationSize= populationSize / maxthead*maxthead;
+
         // 确保偶数（方便交叉）
-        if (populationSize % 2 != 0) {
-            populationSize += 1;
-        }
+//        if (populationSize % 2 != 0) {
+//            populationSize += 1;
+//        }
 
         // 2. 最大迭代次数：50 ~ 200，随工序数线性减少
         maxIterations = (int) Math.max(MIN_MAX_ITERATIONS,

src/main/java/com/aps/entity/basic/GlobalParam.java

@@ -73,11 +73,11 @@ public class GlobalParam {
     public GlobalParam() {
         // 初始化默认目标值配置
         //完工时间、总流程时间、总换型时间、机器负载标准差、延迟时间
-        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_MAKESPAN, true, 1, 0.6));
-        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_FLOW_TIME, false, 2, 0.1));
+        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_MAKESPAN, true, 1, 0.3));
+        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_FLOW_TIME, true, 2, 0.1));
         objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_SETUP_TIME, true, 2, 0.1));
-        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_MACHINE_LOAD, false, 3, 0.1));
-        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_TARDINESS, true, 1, 0.3));
+        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_MACHINE_LOAD, true, 1, 0.1));
+        objectiveConfigs.add(new ObjectiveConfig(OBJECTIVE_TARDINESS, true, 1, 0.6));
 
         objectiveConfigs.sort(Comparator.comparing((ObjectiveConfig op) -> op.getLevel()));
     }

src/main/java/com/aps/entity/basic/KpiTargetConfig.java

+package com.aps.entity.basic;
+
+/**
+ * 作者：佟礼
+ * 时间：2026-04-09
+ */
+public class KpiTargetConfig {
+}

src/main/java/com/aps/service/Algorithm/GeneticAlgorithm.java

@@ -425,7 +425,7 @@ public class GeneticAlgorithm {
 //            chromosome.setResultOld(new CopyOnWriteArrayList<>());
 //        }
 
-        decoder.decodeChromosomeWithCache(chromosome);
+        decoder.decodeChromosomeWithCache(chromosome,false);
         if (chromosome.getFitness() == 0) {
             chromosome.setFitness(_fitnessCalculator.calculateFitness(chromosome, _objectiveWeights));
         }

src/main/java/com/aps/service/Algorithm/GeneticDecoder.java

@@ -88,17 +88,17 @@ public class GeneticDecoder {
     {
         FileHelper.writeLogFile("解码---------------"+population.size() );
 
-        boolean ismore=false;
+        boolean ismore=true;
         if(ismore) {
             CompletableFuture.allOf(population.stream()
-                            .map(chromosome -> CompletableFuture.runAsync(() -> decodeChromosomeWithCache(chromosome), decodeExecutor))
+                            .map(chromosome -> CompletableFuture.runAsync(() -> decodeChromosomeWithCache(chromosome,false), decodeExecutor))
                             .toArray(CompletableFuture[]::new))
                     .join();
 
         } else  {
             if (population != null && population.size() > 0) {
                 population.forEach(chromosome -> {
-                    decodeChromosomeWithCache( chromosome);
+                    decodeChromosomeWithCache( chromosome,false);
                 });
             }
         }
@@ -176,7 +176,7 @@ public class GeneticDecoder {
 //        return  chromosome;
 //    }
 
-    public Chromosome decodeChromosomeWithCache(Chromosome chromosome) {
+    public Chromosome decodeChromosomeWithCache(Chromosome chromosome,boolean isParallel) {
         String cacheKey = createCacheKey(chromosome);
         // FileHelper.writeLogFile("解码-----------开始-------"+chromosome.getID()+":"+cacheKey );
 
@@ -214,7 +214,7 @@ public class GeneticDecoder {
             return chromosome;
         }
         // 3. 缓存未命中：执行解码逻辑
-        decode(chromosome);
+        decode(chromosome,isParallel);
 
         // 4. 将解码结果存入缓存（无锁，ConcurrentHashMap 线程安全）
         decodingCache.putIfAbsent(cacheKey, chromosome);
@@ -367,12 +367,11 @@ if(finishedOrder==null||finishedOrder.size()==0)
         orderProcessCounter.put(orderid, scheduledCount);
     }
 
-    public void decode(Chromosome chromosome) {
-        int operationCount = chromosome.getAllOperations().size();
-        int cpuCores = Runtime.getRuntime().availableProcessors();
+    public void decode(Chromosome chromosome,boolean isParallel) {
+
 //
 //        // 根据工序数量和CPU核心数决定是否使用内部并行
-        if (operationCount > 5000 && cpuCores > 4) {
+        if (isParallel) {
             // 使用设备并行处理
           //  FileHelper.writeLogFile("使用并行处理 _s");
             parallelDecodeByMachine(chromosome);
@@ -392,7 +391,7 @@ if(finishedOrder==null||finishedOrder.size()==0)
     public void serialDecode(Chromosome chromosome) {
 
 
-        List<OrderMaterialRequirement> orderMaterials = materialRequirementService.buildMultiLevelRequirementNetwork(chromosome, sceneId, baseTime,_globalParam);
+       // List<OrderMaterialRequirement> orderMaterials = materialRequirementService.buildMultiLevelRequirementNetwork(chromosome, sceneId, baseTime,_globalParam);
         chromosome.setScenarioID(sceneId);
         if(_globalParam.isIsCheckSf()) {
          int isnew=   generateGlobalOpList(chromosome);

src/main/java/com/aps/service/Algorithm/Initialization.java

@@ -343,7 +343,7 @@ chromo.setOrders(new CopyOnWriteArrayList<>(orders));
     /**
      * 使用构造启发式算法生成初始种群
      */
-    public List<Chromosome> generateHeuristicInitialPopulation(ScheduleParams param, List<GlobalOperationInfo> globalOpList) {
+    public List<Chromosome> generateHeuristicInitialPopulation(ScheduleParams param) {
         List<Chromosome> population = new ArrayList<>();
         int populationSize = param.getPopulationSize();
         this.baseTime=param.getBaseTime();

src/main/java/com/aps/service/Algorithm/ScheduleOperationService.java

@@ -1885,7 +1885,7 @@ if(targetOp.getSequence()>1) {
 
 
 
-        decoder.decode(chromosome);
+        decoder.decode(chromosome,false);
 
         KpiCalculator kpiCalculator=new KpiCalculator(chromosome);
         kpiCalculator.calculatekpi();

src/main/java/com/aps/service/Algorithm/TabuSearchWithSA.java

-package com.aps.service.Algorithm;
-
-import com.aps.common.util.ProductionDeepCopyUtil;
-import com.aps.entity.Algorithm.*;
-import com.aps.entity.basic.Entry;
-import com.aps.entity.basic.GlobalParam;
-
-import java.util.*;
-
-/**
- * 禁忌搜索+模拟退火混合算法
- */
-public class TabuSearchWithSA {
-    private final Random rnd = new Random();
-    private GlobalParam globalParam;
-    private List<Entry> allOperations;
-    private List<GlobalOperationInfo> globalOpList;
-    private FitnessCalculator fitnessCalculator;
-    private ObjectiveWeights objectiveWeights;
-
-    // 禁忌表
-    private List<Chromosome> tabuList;
-    private int tabuListSize = 50;
-
-    public TabuSearchWithSA(GlobalParam globalParam, List<Entry> allOperations, List<GlobalOperationInfo> globalOpList, FitnessCalculator fitnessCalculator, ObjectiveWeights objectiveWeights) {
-        this.globalParam = globalParam;
-        this.allOperations = allOperations;
-        this.globalOpList = globalOpList;
-        this.fitnessCalculator = fitnessCalculator;
-        this.objectiveWeights = objectiveWeights;
-        this.tabuList = new ArrayList<>();
-    }
-
-    /**
-     * 禁忌搜索+模拟退火混合搜索
-     */
-    public Chromosome search(Chromosome chromosome, GeneticDecoder decoder, ScheduleParams param) {
-        Chromosome current = ProductionDeepCopyUtil.deepCopy(chromosome, Chromosome.class);
-        Chromosome best = ProductionDeepCopyUtil.deepCopy(chromosome, Chromosome.class);
-
-        // 初始化温度
-        double temperature = 100.0;
-        double coolingRate = 0.95;
-        int iterations = 0;
-        int maxIterations = 1000;
-        int noImprovementCount = 0;
-        int maxNoImprovement = 100;
-
-        while (iterations < maxIterations && noImprovementCount < maxNoImprovement) {
-            // 生成邻域解
-            List<Chromosome> neighbors = generateNeighbors(current);
-
-            // 过滤禁忌解
-            List<Chromosome> validNeighbors = filterTabuSolutions(neighbors);
-
-            // 评估所有邻域解
-            Chromosome bestNeighbor = null;
-            double bestNeighborFitness = Double.NEGATIVE_INFINITY;
-
-            for (Chromosome neighbor : validNeighbors) {
-                decode(decoder, neighbor, param);
-                if (neighbor.getFitness() > bestNeighborFitness) {
-                    bestNeighborFitness = neighbor.getFitness();
-                    bestNeighbor = neighbor;
-                }
-            }
-
-            if (bestNeighbor != null) {
-                // 计算能量差
-                decode(decoder, current, param);
-                double energyDifference = bestNeighbor.getFitness() - current.getFitness();
-
-                // 结合模拟退火的概率接受机制
-                if (energyDifference > 0 || rnd.nextDouble() < Math.exp(energyDifference / temperature)) {
-                    // 更新当前解
-                    current = bestNeighbor;
-
-                    // 更新禁忌表
-                    addToTabuList(current);
-
-                    // 更新最优解
-                    if (isBetter(current, best)) {
-                        best = current;
-                        noImprovementCount = 0;
-                    } else {
-                        noImprovementCount++;
-                    }
-                }
-            }
-
-            // 降温
-            temperature *= coolingRate;
-            iterations++;
-        }
-
-        return best;
-    }
-
-    /**
-     * 生成邻域解
-     */
-    private List<Chromosome> generateNeighbors(Chromosome chromosome) {
-        List<Chromosome> neighbors = new ArrayList<>();
-
-        // 生成多个邻域解
-        for (int i = 0; i < 10; i++) {
-            int neighborType = rnd.nextInt(4);
-            switch (neighborType) {
-                case 0:
-                    neighbors.add(generateSwapNeighbor(chromosome));
-                    break;
-                case 1:
-                    neighbors.add(generateReverseNeighbor(chromosome));
-                    break;
-                case 2:
-                    neighbors.add(generateInsertNeighbor(chromosome));
-                    break;
-                case 3:
-                    neighbors.add(generateMachineChangeNeighbor(chromosome));
-                    break;
-            }
-        }
-
-        return neighbors;
-    }
-
-    /**
-     * 过滤禁忌解
-     */
-    private List<Chromosome> filterTabuSolutions(List<Chromosome> neighbors) {
-        List<Chromosome> validNeighbors = new ArrayList<>();
-
-        for (Chromosome neighbor : neighbors) {
-            if (!isTabu(neighbor)) {
-                validNeighbors.add(neighbor);
-            }
-        }
-
-        // 如果没有有效邻域解，返回所有邻域解
-        if (validNeighbors.isEmpty()) {
-            return neighbors;
-        }
-
-        return validNeighbors;
-    }
-
-    /**
-     * 检查解是否在禁忌表中
-     */
-    private boolean isTabu(Chromosome chromosome) {
-        for (Chromosome tabuChromosome : tabuList) {
-            if (chromosome.getGeneStr().equals(tabuChromosome.getGeneStr())) {
-                return true;
-            }
-        }
-        return false;
-    }
-
-    /**
-     * 添加解到禁忌表
-     */
-    private void addToTabuList(Chromosome chromosome) {
-        tabuList.add(chromosome);
-        if (tabuList.size() > tabuListSize) {
-            tabuList.remove(0);
-        }
-    }
-
-    /**
-     * 生成交换邻域解
-     */
-    private Chromosome generateSwapNeighbor(Chromosome chromosome) {
-        Chromosome neighbor = ProductionDeepCopyUtil.deepCopy(chromosome, Chromosome.class);
-        List<Integer> os = neighbor.getOperationSequencing();
-        if (os.size() >= 2) {
-            int idx1 = rnd.nextInt(os.size());
-            int idx2 = rnd.nextInt(os.size());
-            while (idx2 == idx1) {
-                idx2 = rnd.nextInt(os.size());
-            }
-            Collections.swap(os, idx1, idx2);
-            neighbor.setOperationSequencing(os);
-        }
-        return neighbor;
-    }
-
-    /**
-     * 生成反转邻域解
-     */
-    private Chromosome generateReverseNeighbor(Chromosome chromosome) {
-        Chromosome neighbor = ProductionDeepCopyUtil.deepCopy(chromosome, Chromosome.class);
-        List<Integer> os = neighbor.getOperationSequencing();
-        if (os.size() >= 2) {
-            int start = rnd.nextInt(os.size());
-            int end = rnd.nextInt(os.size());
-            while (end <= start) {
-                end = rnd.nextInt(os.size());
-            }
-            Collections.reverse(os.subList(start, end + 1));
-            neighbor.setOperationSequencing(os);
-        }
-        return neighbor;
-    }
-
-    /**
-     * 生成插入邻域解
-     */
-    private Chromosome generateInsertNeighbor(Chromosome chromosome) {
-        Chromosome neighbor = ProductionDeepCopyUtil.deepCopy(chromosome, Chromosome.class);
-        List<Integer> os = neighbor.getOperationSequencing();
-        if (os.size() >= 2) {
-            int idx1 = rnd.nextInt(os.size());
-            int idx2 = rnd.nextInt(os.size());
-            while (idx2 == idx1) {
-                idx2 = rnd.nextInt(os.size());
-            }
-            int value = os.remove(idx1);
-            os.add(idx2, value);
-            neighbor.setOperationSequencing(os);
-        }
-        return neighbor;
-    }
-
-    /**
-     * 生成机器选择邻域解
-     */
-    private Chromosome generateMachineChangeNeighbor(Chromosome chromosome) {
-        Chromosome neighbor = ProductionDeepCopyUtil.deepCopy(chromosome, Chromosome.class);
-        List<Integer> ms = neighbor.getMachineSelection();
-        if (!ms.isEmpty()) {
-            int idx = rnd.nextInt(ms.size());
-            GlobalOperationInfo globalOp = globalOpList.get(idx);
-            Entry op = globalOp.getOp();
-
-            if (op.getMachineOptions().size() > 1) {
-                int currentMachineSeq = ms.get(idx);
-                List<Integer> availableMachines = new ArrayList<>();
-                for (int i = 1; i <= op.getMachineOptions().size(); i++) {
-                    if (i != currentMachineSeq) {
-                        availableMachines.add(i);
-                    }
-                }
-
-                if (!availableMachines.isEmpty()) {
-                    int newMachineSeq = availableMachines.get(rnd.nextInt(availableMachines.size()));
-                    ms.set(idx, newMachineSeq);
-                    neighbor.setMachineSelection(ms);
-                }
-            }
-        }
-        return neighbor;
-    }
-
-    /**
-     * 解码染色体
-     */
-    private void decode(GeneticDecoder decoder, Chromosome chromosome, ScheduleParams param) {
-        chromosome.setResult(new java.util.concurrent.CopyOnWriteArrayList<>());
-        decoder.decodeChromosomeWithCache(chromosome);
-        if (chromosome.getFitness() == 0) {
-            chromosome.setFitness(fitnessCalculator.calculateFitness(chromosome, objectiveWeights));
-        }
-    }
-
-    /**
-     * 比较两个染色体的优劣
-     */
-    private boolean isBetter(Chromosome c1, Chromosome c2) {
-        return c1.getFitness() > c2.getFitness();
-    }
-}
\ No newline at end of file

src/main/java/com/aps/service/plan/SceneService.java

@@ -132,7 +132,7 @@ public class SceneService {
         try {
             ObjectMapper objectMapper = createObjectMapper();
 
-            SceneChromsome sceneChromsome=(SceneChromsome)redisUtils.get("SceneId."+sceneId);
+            SceneChromsome sceneChromsome=null;//(SceneChromsome)redisUtils.get("SceneId."+sceneId);
             if(sceneChromsome==null)
             {
                 sceneChromsome=new SceneChromsome();
@@ -163,7 +163,7 @@ public class SceneService {
             sceneChromsome.getSceneDetails().add(sceneDetail);
 
 
-            redisUtils.set("SceneId."+sceneId,sceneChromsome);
+         //   redisUtils.set("SceneId."+sceneId,sceneChromsome);
 
             File file = getChromosomeFile(sceneId,sceneChromsome.getVersion().toString());
 

src/test/java/com/aps/demo/PlanResultServiceTest.java

@@ -39,7 +39,8 @@ public class PlanResultServiceTest {
       //  TestSortService  sortService=new TestSortService();
      //  sortService.test1();
        // nsgaiiUtils.Test();
-      planResultService.execute2("0428340BB4F540938F1FB5599F03E8A4");//2000
+        planResultService.execute2("08B1D87FE1B84ECDBAC2E546DDB6FB81");//2000
+     // planResultService.execute2("0428340BB4F540938F1FB5599F03E8A4");//2000
        // planResultService.execute2("C8B533BD8944405B9A2F8823C575C204");//500
        // planResultService.execute2("EFDD34E4B5BC434BAEAE6A84DFCD4E7B");//20
       //  planResultService.execute2("00E0C5D3E4AD4F36B56C39395906618D");