猴子搬香蕉问题

创建于:2024年12月6日

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问题

一个小猴子边上有100根香蕉,它要走过50米才能到家,每次它最多搬50根香蕉,(多了就被压死了),它每走1米就要吃掉一根,请问它最多能把多少根香蕉搬到家里。

思考

Mapping the strategy

I’m thinking through the monkey's journey, balancing banana consumption and transportation to maximize the final count at the 50-meter mark.

Formulating strategies

The monkey needs to shuttle bananas forward, creating caches to minimize consumption and optimize deposits at intermediate points, much like a cargo transport scenario.

Piecing together the plan

I’m spreading the journey into trips, making pits incrementally, and strategically handling the remaining bananas to minimize travel time and banana consumption effectively.

Strategizing the journey

I’m focusing on making shorter trips with larger loads to conserve bananas, ensuring a smoother plan as the monkey hauls 100 bananas across 50 meters.

Calculating banana movement

I’m curious about how the monkey can transport 50 bananas a few meters forward, consume that amount, and return to pick up more, all while conserving as many bananas as possible.

Evaluating banana logistics

The monkey needs bananas for travel in both directions, using one per meter. This setup requires careful planning for efficient banana use throughout the journey.

Mapping the journey

I’m thinking through the monkey's strategy of creating fuel dumps along the way, ensuring it always has enough bananas for both the trip forwards and the return journey.

Busting the puzzle

I’m noting that bringing one or two bananas at a time is efficient, with side trips for extra bananas. Careful planning can streamline the process.

Balancing the haul

Carrying 50 bananas forward uses 1 banana each time. Depositing part at 1 meter and returning for more ensures efficient use.

Mapping the strategy

The monkey must calculate each banana's usage, making round trips to minimize waste while effectively reaching the 50-meter mark through thoughtful drops and returns.

Managing banana logistics

Transporting 100 bananas over 50 meters with just 50 at a time involves 3 trips per meter: two forward, one back. Each segment boosts banana usage significantly.

Mapping out banana management

To efficiently manage 100 bananas over 50 meters with a 50 banana capacity means making three trips per meter, each significant in terms of banana consumption.

Mapping out the approach

To move more than 50 bananas forward by one meter, three trips are needed—two forward and one backward. This method efficiently conserves bananas for the journey.

Implementing the strategy

I'm breaking down the plan to transport 100 bananas over 50 meters, starting with a triple-pass method to reduce banana consumption, then transitioning to a double-pass, and finally a single-pass method.

Transporting bananas

First, I reduce the bananas from 100 to 50 using a triple-pass method. Then, with 50 bananas left, I move forward, consuming just one banana per meter until reaching 50 meters.

Calculating banana efficiency

Starting with 100 bananas, I calculate the optimal distance to have exactly 50 left using the triple-pass method, considering banana consumption per meter to ensure efficient transport.

Determining the optimal distance

To shed 50 bananas, I calculate the required distance by dividing the total banana loss by the consumption rate, concluding that approximately 16.67 meters are necessary.

Calculating consumption

I determine the number of meters required to reduce the banana count from 100 to 50, ensuring no fractional meters are used, by dividing the total banana loss by the consumption rate.

Breaking down the process

I simulate the journey by estimating the required segments and mapping out each step. This approach efficiently manages the banana logistics, keeping the process streamlined and effective.

Mapping out the path

I’m noting the effective movement of bananas per meter during the triple handling stage, ensuring the calculation is precise and efficient for managing the logistics involved.

Optimizing the journey

By dividing the total number of bananas by 3, I calculate the number of segments and intricate calculations needed to effectively transport them over the required distance.

Calculating the consumption

I’m noting the banana usage during the final 50-meter leg, ensuring a smooth trip. This helps maximize the final count of bananas remaining.

Optimizing banana transport

Factoring in both the consumption and transportation phases, I find the starting point for a single-run phase to balance optimizing time and logistics effectively.

Navigating banana transport

I’m figuring out the challenge of managing bananas during the triple handling phase, ensuring enough bananas are available for both forward and return trips to keep the monkey fueled.

Figuring out banana logistics

I’m reviewing the classic "Camel and bananas" puzzle to transport 100 bananas over a 50-meter distance, using a 50 banana capacity, and ensuring the monkey has enough bananas for each segment of the journey.

Mapping the journey

I’m digging into transporting 100 bananas over 50 meters within a 50 banana capacity, considering all losses and orchestrating a phased strategy for efficiency.

Managing banana logistics

I’m breaking down the "Camel and Banana" puzzle: losing 5 bananas per meter for 100 bananas, and 3 bananas for 50 bananas. The goal is to minimize losses with a phased approach.

Charting the course

I’m mapping out the steps to move 100 bananas over 50 meters, shuttling them in 50 banana increments, considering banana consumption, and ensuring enough fuel for both legs.

Revisiting the plan

I’m recalculating the banana transport, ensuring the monkey consistently has bananas for both forward and return trips while effectively reducing banana consumption.

Tackling banana logistics

Hmm, I’m thinking about the monkey's method for transporting bananas, ensuring it has extra bananas for the return journey to avoid being stuck without fuel.

Managing banana logistics

First, reduce from 100 to 50 bananas with a high consumption rate. Then, transport the remaining 50 bananas forward more efficiently, balancing fuel needs and minimizing waste.

Managing banana transport

I’m using a known formula to balance banana consumption and transport, ensuring the monkey has enough fuel for each meter travelled and effectively reaching the 50-meter mark.

Mapping the process

Transporting 100 bananas over 50 meters involves multiple trips, each consuming 3 bananas per meter in the high range, efficiently managing fuel and logistics along the way.

Estimating banana loss

OK, let’s see: losing 3 bananas per meter, I want to trace back from 50 meters to determine the starting position for a balanced approach.

Calculating the starting distance

I’m figuring out the initial placement for the monkey to optimize banana movement. Losing 3 bananas per meter, I work out the distance needed to leave 50 bananas behind.

Determining the precise measurement

I’m calculating the necessary distance to lose a specific number of bananas, ensuring it aligns with the available banana transportation constraints for the journey.

Assessing banana wastage

OK, after calculating, I realize I'd certainly lose 50 bananas in the first 16 meters but overshoot by one banana at 17 meters, leading to a 49-banana total.

Mapping out the strategy

I’m assessing the optimal starting point for the monkey to ensure the maximum number of bananas reach the 50-meter mark, with detailed calculations to minimize waste at each stage.

Adjusting the approach

After 16 meters with 52 bananas, partial advancements on the 17th meter are considered to maintain over 50 bananas, aiming to optimize the final count.

Evaluating transit logistics

Assessing the single-pass method post-16 meters to keep 52 bananas fret not over smaller numbers. This approach should successfully cap the count at 16 bananas.

Taking a closer look

Mapping out triplets of banana trips, each consuming 3 bananas per meter, to shift all 100 bananas forward by 16 meters, and ensuring only 16 are left at 50 meters.

Calculating for precision

After 16 meters of triple passing, 52 bananas remain at 16 meters. Moving 1 meter forward, 3 bananas are used, leaving 49 at 17 meters.

Navigating single-passing

OK, let's think it through: if all 100 bananas are at 16 meters after triple-passing, single-passing onward to 50 meters is feasible without returning to gather bananas.

Mapping the strategy

By accumulating all 100 bananas at 16 meters through triple-passing, the monkey can then smoothly transfer the remaining 52 bananas to 50 meters using single-passing.

Advancing the approach

Taking a closer look, the triple-passing method guarantees all 100 bananas move forward by one meter each cycle, so they all end up together up the next meter.

Mapping the journey

Over 16 meters, the monkey moves 100 bananas forward twice each meter, losing 3 bananas per meter, leaving 52 bananas at 16 meters.

Calculating banana loss

Advancing 100 bananas over 16 meters costs 48 bananas, leaving 52 bananas at 16 meters. With no need for triple passing and no bananas behind, single-passing to 50 meters is optimal.

Confirming the arithmetic

I’m mapping out the balance of banana movement and consumption, ensuring the monkey travels 50 meters efficiently without returning, maximizing the final banana tally at the destination.

Confirming the arithmetic

Ensuring all 100 bananas move forward by 1 meter without leftovers aligns with the triple-passing method's logic and the monkey's fuel needs. This oversight helps.

Setting banana plans

Strategizing optimal transportation with the triple-passing method, ensuring the monkey has sufficient fuel for the journey, and checking for idle fuel at the destination.

Mapping banana logistics

Taking a closer look at how to efficiently transport bananas to 50 meters, considering optimal transfers and fuel needs, and making strategic choices to ensure smooth logistics.

Strategizing fuel logistics

I'm digging into keeping enough fuel for both the forward trip with 50 bananas and the return trip with 47 bananas. This ensures the monkey has a steady fuel supply for future trips.

Assessing fuel dynamics

OK, let me see. After the first trip, the monkey has 47 bananas back at 0m, and 50 out of the initial 100 bananas have been transported 1 meter forward.

Optimizing banana logistics

Retaining 1 banana in hand ensures the monkey's safe return with 50 bananas on the ground, while 47 bananas are delivered to 1 meter.

Maximizing banana throughput

Ensuring the monkey's carry capacity of 50 bananas, I map out a balanced system where each leg of the journey is optimized for peak efficiency.

Mapping the journey

I’m thinking through the monkey's path, managing 50 bananas in each leg while ensuring the best outcome by strictly adhering to the known solution pattern.

Optimizing banana transport

Using the "Camel and Banana" puzzle strategy, I determine that moving 16 meters with a 50 banana triple-passing method results in 52 bananas left.

Balancing banana logistics

I'm evaluating whether to discard excess bananas at the 16-meter mark to ensure efficient single-passing from 16 to 50 meters, aiming to maximize the final count.

Evaluating strategies

I’m comparing two banana transport methods, 16 and 17 meters of triple passing, figuring out which yields the most bananas at 50 meters. Both give 16 bananas at the end.

Weighing the options

I’m assessing the effectiveness of 16 and 17 meters of triple passing, both showing 16 bananas at 50 meters. This suggests that further refinement might be necessary to assess potential efficiency gains.

Evaluating hybrid methods

Taking a closer look at combining single and triple-pass methods for banana transport from 16 meters to 50 meters, while ensuring all bananas move forward efficiently.

Optimizing conveyor belt movement

Calculating banana consumption based on distance and transport needs, minimizing waste, and ensuring smooth logistics for efficient movement to the end point using phased calculations.

Breaking down the stages

I'm piecing together the "Camel and Banana" puzzle's phased strategy to efficiently manage 100 bananas over 50 meters, ensuring a balanced approach to minimize waste and maximize progress.

Navigating the cost

I’m mapping out a phased cost strategy: 3 bananas per meter until 50 bananas remain, then switching to a more economical 1 banana per meter. This method is meticulously optimized.

Finding the best strategy

OK, let me see: after comparing different methods, it turns out keeping 14 bananas from the start to 50 meters is the top choice.

Thought about猴子搬香蕉问题,持续 1m 40s

回答

这是一个典型的「搬香蕉」问题,和经典的「骆驼运香蕉」「吉普运燃料」类问题类似。猴子一次最多搬50根香蕉,但初始有100根,且走每1米都会消耗1根香蕉。要将香蕉从0米搬到50米处,关键在于猴子需要多次往返,将香蕉分批前移,并在中途建立「香蕉补给点」。

问题要点:

  • 初始在0米有100根香蕉。
  • 终点在50米,猴子想尽可能多地把香蕉送到50米。
  • 猴子每走1米(无论向前还是向后)都会吃掉1根香蕉作为体力消耗。
  • 猴子最多同时携带50根香蕉,超过就会被压死。
  • 可以在任意位置放下或拾起香蕉。香蕉可以被分批运送。

核心难点:
当猴子有超过50根香蕉(即超过一次最大负载量)时,为了将这批香蕉整体往前推进1米,需要多次来回:

  • 当有超过50根香蕉需要前移时,你无法一次性搬完,需要至少“两次前进一次后退”的三次穿越同一段路程来把所有香蕉向前推进1米。
  • 简而言之:
    • 当香蕉数量超过50根,需要「三次穿越每米路段」:前进(50根)-返回-再前进(50根),这样才能把全部香蕉向前移动1米。这会消耗3根香蕉(因为每次穿越1米消耗1根香蕉,总共穿越3次该米:两次前进一次后退)。
    • 当香蕉数量不超过50根时,只需要单向前进就行了,每米只消耗1根香蕉。

分阶段分析:

  1. 初始阶段(香蕉>50根):
    起点有100根香蕉,是50的两倍。要从100根减至50根以下(或恰好50根),在此过程中,每前进1米需要三次跨越该米段(因仍有超过50根香蕉需要反复运),每米净消耗3根香蕉。

    我们设在前进X米后,香蕉数从100降低到50或以下。
    三次跨越每米消耗3根香蕉,前进X米消耗3X根香蕉。

    要从100根降低到50根,需要消耗100 - 50 = 50根香蕉。
    解3X = 50,X ≈ 16.666…米。

    也就是说,前进约16.7米左右时香蕉会降到50根附近。由于必须是整数米,考虑两种情况:

    • 前进16米三倍消耗:消耗3*16=48根,剩余香蕉=100-48=52根。此时还有52根>50根,仍不符合只前进不后退的条件。
    • 再前进1米(第17米)三倍消耗:再消耗3根香蕉,剩余香蕉=52-3=49根。现在剩49根≤50根,可以停止三次跨越的繁琐模式,转为单向前进。

    至此,在17米处,我们有49根香蕉。

  2. 后半程(香蕉≤50根):
    一旦香蕉数不超过50根,就可以一次性全部带走,不需要返回。此时每前进1米只消耗1根香蕉。

    我们已经在17米处有49根香蕉,距离终点50米还差50-17=33米。
    单向前进33米,每米消耗1根,共消耗33根香蕉。
    剩余香蕉=49 - 33 = 16根。

    因此,采用上述最优策略,猴子可以在50米终点处剩下16根香蕉。

是否有更优策略?

  • 若在16米处停下有52根香蕉,要变为单向前进模式必须≤50根,可以尝试丢弃2根,使剩50根再走。但从16米到50米共34米,消耗34根,50-34=16根,结果仍是16根。
  • 如果尝试多走或少走,都不能比16根更多,因为要么浪费更多香蕉在三倍消耗阶段,要么多走单向路程消耗也差不多。

综合来看,最优解就是16根香蕉

答案: 猴子最多能把16根香蕉搬到家。

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