112,67 €
125,19 €
-10% with code: EXTRA
Evolutionary Wind Turbine Placement Optimization with Geographical Constraints
Evolutionary Wind Turbine Placement Optimization with Geographical Constraints
112,67
125,19 €
  • We will send in 10–14 business days.
Daniel Lückehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situations. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choi…
  • SAVE -10% with code: EXTRA

Evolutionary Wind Turbine Placement Optimization with Geographical Constraints (e-book) (used book) | bookbook.eu

Reviews

Description

Daniel Lückehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situations. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choices. As a matter of fact, wind turbines play an important role towards green energy supply. An optimal location is essential to achieve the highest possible energy efficiency.

EXTRA 10 % discount with code: EXTRA

112,67
125,19 €
We will send in 10–14 business days.

The promotion ends in 20d.13:27:17

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 1,25 Book Euros!?

Daniel Lückehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situations. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choices. As a matter of fact, wind turbines play an important role towards green energy supply. An optimal location is essential to achieve the highest possible energy efficiency.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)