Computer Land Planning System Heuristic Optimization
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Solution Overview
Problem
The current land planning process is time-consuming, inaccurate, and expensive due to complex bureaucratic complications, environmental protection requirements, and high land costs, often resulting in unoptimized development designs and significant investment risks for real estate developers and government entities.
Innovation Solution
A computer-implemented land planning system utilizing heuristic mathematical optimization approaches, such as evolutionary algorithms, to generate multiple optimized land development solutions within a 24-hour period, integrating engineering, budgeting, and aesthetic considerations, and providing cost-effective options through web-accessible technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual land planning processes are used with architects and engineers, then design quality and expertise are maintained, but the process becomes extremely time-consuming (4 weeks to 28 weeks) and expensive
Solution Approach 1:
The patent replaces the manual mechanical process of land planning (architects and engineers physically creating designs) with an automated computer-based system that uses mathematical optimization algorithms and heuristics to generate multiple design alternatives, thereby eliminating the time-consuming manual iteration while maintaining design quality through systematic evaluation
Solution Approach 2:
The system enables self-service land planning by allowing developers to input their own parameters and constraints, then automatically generating multiple optimized design alternatives without requiring engagement of external architects and engineers for the initial planning phases, significantly reducing both time and cost
2Adaptability or versatility
If multiple design alternatives are generated manually, then more options are available for optimization, but the cost and time increase significantly
Solution Approach 1:
The patent creates a universal computer-based system that can handle multiple design alternatives simultaneously by integrating various functions (constraint validation, cost calculation, optimization algorithms) into a single multi-functional platform, allowing generation of numerous design options without proportionally increasing process complexity
Solution Approach 2:
The system changes parameters from manual fixed designs to computationally variable parameters that can be systematically adjusted through optimization algorithms, allowing rapid generation of multiple design alternatives by varying input parameters such as building footprints, site utilization, and cost constraints
3Reliability
If detailed engineering assessment is performed early in the process, then investment risks are reduced, but substantial investment in legal fees and earnest money is required to hold the property
Solution Approach 1:
The patent performs preliminary engineering assessments and generates multiple optimized design alternatives with cost estimates before the property purchase is finalized, allowing developers to evaluate investment risks and potential returns in advance, thereby reducing the need for large earnest money deposits and legal fees to hold the property
4Device complexity
If a single un-optimized design option is used for budget estimation, then the planning process is simpler, but the budget accuracy is reduced and value engineering is required later
Solution Approach 1:
The system incorporates feedback mechanisms where each generated design alternative is automatically evaluated against multiple criteria including cost estimates, constraint satisfaction, and optimization objectives, providing continuous feedback that improves budget accuracy while maintaining planning simplicity through automated iterative refinement
Data Source
AI summary
A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system electronically creates at least one candidate solution to the land development problem. The candidate solution incorporates a number of engineering measurements applicable in development of an undeveloped land site. A fitness function quantitatively evaluates the candidate solution based on its fitness. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. A computer output device outputs to a user documentation illustrating the fit solution to the land development problem.