hill climbing - meaning and definition. What is hill climbing
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What (who) is hill climbing - definition

OPTIMIZATION ALGORITHM
Random-restart hill climbing; Hill-climbing; Hill-climbing algorithm; Hill-climbing optimization; Shotgun hill climbing; Random hill climbing; Hill climbing algorithm; Hill climbing method
  • Despite the many local maxima in this graph, the global maximum can still be found using simulated annealing. Unfortunately, the applicability of simulated annealing is problem-specific because it relies on finding ''lucky jumps'' that improve the position. In such extreme examples, hill climbing will most probably produce a local maximum.

hill climbing         
<algorithm> A graph search algorithm where the current path is extended with a successor node which is closer to the solution than the end of the current path. In simple hill climbing, the first closer node is chosen whereas in steepest ascent hill climbing all successors are compared and the closest to the solution is chosen. Both forms fail if there is no closer node. This may happen if there are local maxima in the search space which are not solutions. Steepest ascent hill climbing is similar to {best first search} but the latter tries all possible extensions of the current path in order whereas steepest ascent only tries one. (1995-12-09)
Sport climbing         
  • bolt]]
TYPE OF ROCK CLIMBING WITH BOLTED PROTECTION
Sportclimbing; Sport Climbing; Sports climbing; Sport climber; Climbing (sport); Sports climber; Spy climbing
Sport climbing (or Bolted climbing), is a form of rock climbing that relies on permanent anchors (or bolts), permanently fixed into the rock for climber protection, in which a rope that is attached to the climber is clipped into the anchors to arrest a fall; it can also involve climbing short distances with a crash pad underneath as protection. This is in contrast to traditional climbing where climbers must place removable protection as they climb.
Rock-climbing equipment         
  • An SLCD placed in a crack.
  • Dynamic climbing rope
  • Climbing stoppers and offset stoppers with nut key
  • A wooden hangboard designed for increasing contact strength in rock climbers
  • A daisy chain
  • Climbing harness
  • Left and right hand ascenders
  • Grigri]]
  • Selection of carabiners
  • Chalkbag with brush
  • Belay gloves
  • Two quickdraws. The upper has a solid bent gate for the rope and the lower a wire gate for it.
  • Climbing slings
  • A climbing helmet
LIST OF MANMADE GEAR
Mountaineering equipment; User:Stewartadcock/Climbing equipment; Climbing gear; Belay gloves; Climbing Equipment; Chalk bag; Daisy chain (climbing); Climbing equipment; Rock climbing equipment; Climbing helmet; Haul bag
A wide range of equipment is used during rock or any other type of climbing that includes equipment commonly used to protect a climber against the consequences of a fall.

Wikipedia

Hill climbing

In numerical analysis, hill climbing is a mathematical optimization technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to find a better solution by making an incremental change to the solution. If the change produces a better solution, another incremental change is made to the new solution, and so on until no further improvements can be found.

For example, hill climbing can be applied to the travelling salesman problem. It is easy to find an initial solution that visits all the cities but will likely be very poor compared to the optimal solution. The algorithm starts with such a solution and makes small improvements to it, such as switching the order in which two cities are visited. Eventually, a much shorter route is likely to be obtained.

Hill climbing finds optimal solutions for convex problems – for other problems it will find only local optima (solutions that cannot be improved upon by any neighboring configurations), which are not necessarily the best possible solution (the global optimum) out of all possible solutions (the search space). Examples of algorithms that solve convex problems by hill-climbing include the simplex algorithm for linear programming and binary search.: 253  To attempt to avoid getting stuck in local optima, one could use restarts (i.e. repeated local search), or more complex schemes based on iterations (like iterated local search), or on memory (like reactive search optimization and tabu search), or on memory-less stochastic modifications (like simulated annealing).

The relative simplicity of the algorithm makes it a popular first choice amongst optimizing algorithms. It is used widely in artificial intelligence, for reaching a goal state from a starting node. Different choices for next nodes and starting nodes are used in related algorithms. Although more advanced algorithms such as simulated annealing or tabu search may give better results, in some situations hill climbing works just as well. Hill climbing can often produce a better result than other algorithms when the amount of time available to perform a search is limited, such as with real-time systems, so long as a small number of increments typically converges on a good solution (the optimal solution or a close approximation). At the other extreme, bubble sort can be viewed as a hill climbing algorithm (every adjacent element exchange decreases the number of disordered element pairs), yet this approach is far from efficient for even modest N, as the number of exchanges required grows quadratically.

Hill climbing is an anytime algorithm: it can return a valid solution even if it's interrupted at any time before it ends.

Examples of use of hill climbing
1. I leave him suspended over the water and tell him to drop the hill climbing threat or we‘ll cut the rope and drop him in the river.