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traveling salesman problem是什麼意思,traveling salesman problem的意思翻譯、用法、同義詞、例句

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常用詞典

  • 旅行商問題;貨郎擔問題

  • 例句

  • Branch-and-cut methods can solve many combinatorial optimization problems, especially large scale problems, for instance, traveling salesman problem(TSP).

    分支-切割法可以用來解決許多組合最優化問題,特别是大規模問題,例如旅行商問題(TSP)。

  • By use of the properties of ergodicity, randomicity, and regularity of chaos, a chaos ant colony optimization (CACO) algorithm is proposed to solve traveling salesman problem.

    利用混沌運動的遍曆性、隨機性和規律性等特點,提出了一種求解旅行商問題的混沌蟻群(CACO)算法。

  • As an essential question of the intelligent distribution system, route optimization has many problem-solving models, the most typical one is Traveling Salesman Problem (short for TSP).

    路徑優化是物流配送中智能調度系統的核心問題,其中最典型的問題模型就是旅行商問題即TSP問題。

  • The conception and method of online scheduling in parcel post automated warehouse are put forward, that is dynamic scheduling problem, which is equal to solve online traveling salesman problem.

    提出了郵包自動化倉庫線上調度的概念和方法,即動态調度問題,實際上等同于解決線上旅行商問題。

  • Based on analyzing the encoding characteristics of POCSAG carefully, the Problem can he abstracted as a special Traveling Salesman Problem, soa mathematical model of optimization encoding is set up.

    經過對POCSAG碼編碼特性的分析,這一問題可以抽象為一個特殊的旅行商問題,從而得出優化編碼的數學模型。

  • Enlighted by the mutual contacts between the nature species groups, the paper proposes the inter-group competition and collaboration of genetic algorithms to solve the traveling salesman problem.

    受自然界物種群體間相互聯繫的啟發,提出了群體間競争與協作的遺傳算法來解決旅行商問題。

  • Film Delivery Problem, a new problem of optimization grouping, is the extension of the Traveling Salesman Problem(TSP) on which has been done research for over ten years.

    影片投遞問題是近十幾年來研究相當活躍的旅行商問題(TSP)的拓展,是組合優化的新問題。

  • MAX-MIN ant system algorithm is one of the best approaches to resolve the traveling salesman problem and the quadratic assignment problem.

    MIN螞蟻系統算法是解決旅行商問題及二次分配問題的最好方法之一。

  • In order to find the internal rules of self-adaptive behavior, this paper introduces parameter-control and sets pheromone's range, which are applied to the Traveling Salesman Problem(TSP).

    為尋求算法自適應過程的内部規律,結合旅行商問題,采用參數控制、設置信息素範圍的方法進行探讨。

  • The nearest neighbour relation between cities on random ******** lattice has been used to construct a tour subspace and to solve the traveling salesman problem.

    采用隨機三角點陣上城市間的最近鄰關系,構造路徑子空間來求解旅行推銷員問題。

  • By using LCA to solve traveling salesman problem , satisfactory results are obtained. Examples show that LCA has good global search characteristic.

    用列隊競争算法解旅行商問題獲得了滿意的結果,顯示出列隊競争算法良好的全局搜索性能。

  • Solving Traveling Salesman Problem(TSP)is an important problem in Genetic Algorithm's Application, it is an optimization problem of the TSP path encoding in essence.

    求解TSP問題是遺傳算法應用的一個重要領域,其本質是TSP問題中巡回路徑編碼串的組合最優化問題。

  • The detailed realization of the method was illustrated and some examples of the traveling salesman problem were computed. Simulation results prove that the new algorithm is effective and feasible.

    選取旅行商問題作為算法的仿真實例,通過對仿真實例進行計算和結果比較,驗證了該算法的有效性和可行性。

  • Traveling salesman problem(TSP) is a NP complete combinatorial optimum problem.

    旅行商問題是NP完全的組合優化問題。

  • TSP(Traveling Salesman Problem)is a typical NP-hard problem in combinatorial optimization and Genetic Algorithm is one of methods for solving TSP.

    TSP問題是一個經典的NP難度的組合優化問題,遺傳算法是求解TSP問題的有效方法之一。

  • On this basis, we proposed a two-step solution of the traveling salesman problem, a large number of simulation experiments show that the algorithm has produced good results.

    在此基礎上,我們又提出了解決旅行商問題的兩步法,大量的仿真實驗表明這一算法取得了良好的效果。

  • TSP (Traveling Salesman Problem) is a typical NP-complete problem, and the genetic algorithm (GA) is the method for solving NP-complete problem.

    TSP問題是典型的NP完全問題,遺傳算法是求解NP完全問題的一種方法。

  • TSP(Traveling Salesman Problem)is a typical NP-Complete problem, genetic algorithm(GA)is the perfect method for solving NP -Complete problem.

    TSP問題是典型的NP完全問題,遺傳算法是求解NP完全問題的一種理想方法。

  • Tool-path airtime optimization during multi-contour processing in leather cutting is regarded as generalized traveling salesman problem. A hybrid intelligence algorithm was proposed.

    将皮革裁剪多輪廓加工空行程路徑優化問題歸結為廣義旅行商問題,提出了一種求解問題的混合智能優化算法。

  • An improved tabu search - crossover tabu search (CTS) was proposed, which is applied for solving a well-known combinatorial optimization problem-the traveling salesman problem (TSP).

    提出一種改進的禁忌搜索(TS)-交叉禁忌搜索(CTS),并用于混合優化問題旅行商問題(TSP)的求解。

  • This chaotic neural network is used to the 10-city traveling salesman problem (TSP), and the influence of trigonometric function self-feedback on TSP is analyzed.

    混沌神經網絡的10個城市的旅行商問題(TSP),和三角函數自反饋對TSP的影響進行了分析。

  • The usage of the SOM for the protein folding problem is similar to that for the Traveling Salesman Problem.

    使用該高級官員的蛋白質折疊問題是類似的旅行商問題。

  • This article discusses the computational complexity of Traveling Salesman Problem, and points out the difference of computational complexity between Decisive TSP and Optimal TSP.

    讨論了貨郎問題的計算複雜性,指出了貨郎優化問題與貨郎判定問題計算複雜性的差異。

  • Traveling Salesman Problem (TSP) is considered as an old and difficult problem in combinatorics.

    TSP屬于組合數學中一個古老而又困難的問題。

  • Traveling Salesman Problem (TSP) is a classic combinatorial optimization problem and NP-hard.

    旅行商問題是一個經典的組合優化問題,也是一個NP難問題。

  • An Immune Genetic Algorithm(IGA) is used to solve traveling salesman problem(TSP).

    用一種免疫遺傳算法(IGA)對TSP問題進行求解。

  • The evolutionary algorithm using inver-over operator for the traveling salesman problem(TSP) has great ascendancy, because its ability in global searching for optimal individual is powerful.

    使用逆轉算子求解TSP的演化算法具有很強全局搜索能力,在求解TSP問題中顯示了巨大的優勢。

  • In this paper, a personification algorithm for solving the Traveling Salesman Problem (TSP) is proposed, which is based on original greedy algorithm.

    基于貪心算法提出了一種改進的求解旅行商問題(TSP)的拟人算法。

  • 網絡擴展資料

    旅行商問題(Traveling Salesman Problem, TSP)是組合優化領域中最經典的NP難問題之一。其核心目标是:給定一系列城市和每對城市之間的距離,找到一條最短的閉合路徑,使得旅行商訪問每個城市恰好一次并最終返回起點。

    關鍵點解釋:

    1. 問題定義

      • 若用圖論描述,TSP可轉化為在完全加權圖中尋找總權重最小的哈密頓回路(即經過所有頂點且不重複的環路)。
      • 數學上,假設有(n)個城市,距離矩陣為(d{ij})(表示城市(i)到(j)的距離),目标是最小化總路徑長度:
        $$ min sum
        {i=1}^{n} sum{j eq i} d{ij}x{ij} $$
        其中(x
        {ij})為0-1變量(若從(i)到(j)則為1),并需滿足每個城市僅進入和離開一次。
    2. 計算複雜度

      • TSP屬于NP難問題,即隨着城市數量增加,可能的路線組合數以((n-1)!)級數增長。例如,30個城市的路徑組合超過(10^{32})種,即使超級計算機也無法窮舉所有解。
    3. 應用場景

      • 物流運輸:優化配送路線以降低燃油和時間成本。
      • 芯片設計:減少電路闆鑽孔機械臂的移動距離。
      • 生物信息學:分析DNA片段測序的最優排列。
    4. 解決方法

      • 精确算法:如分支定界法、動态規劃(適用于小規模問題,但(n>20)時效率驟降)。
      • 近似算法:如最近鄰算法、Christofides算法(保證解在最優解的1.5倍内)。
      • 啟發式算法:如模拟退火、遺傳算法、蟻群優化(適合大規模問題,但解的質量不保證)。

    挑戰與意義

    TSP的困難性揭示了現實世界中許多優化問題的本質局限,推動了對近似算法和啟發式策略的研究。盡管目前尚無通用高效解法,但針對特定場景(如對稱TSP、歐氏TSP)已有顯著進展。

    網絡擴展資料二

    詞性:名詞

    定義:旅行商問題是指在給定的一些城市之間,旅行商要找到一條路徑,使得他能夠恰好訪問每個城市并最終返回起點城市,同時總路程最短。

    發音:[ˈtrævlɪŋ ˈseɪlzmən ˈprɒbləm]

    例句

    用法:旅行商問題是一個經典的組合優化問題,被廣泛應用于物流、路徑規劃、電路闆制造等領域。

    解釋:旅行商問題是一個NP完全問題,即不存在多項式時間的算法能夠解決它。目前已經有很多算法被提出來嘗試解決這個問題,例如貪心算法、動态規劃算法、遺傳算法等。

    近義詞:TSP

    反義詞:無

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