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Overview: Solve design, planning, and control problems using modern machine learning and AI techniques. Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems. When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result. This guide reveals the classical and modern algorithms behind these services. Without assuming any prior knowledge of search and optimization and with an intermediate knowledge of data structures and Python, this book has been written to take most anyone from never solving search and optimization problems to being a well-rounded search and optimization practitioner able to select, implement and adapt the right solver for the right problem. For managers or professionals involved in the high-level technological decisions at their workplace, these skills can be critical in understanding software-based approaches, their opportunities, and limitations when discussing process improvement. In contrast, IT professionals will find these skills more directly applicable when considering options for developing or selecting new software suites and technologies for in-house use. The following subsection describes the methodology we will follow throughout this book.
Genre: Non-Fiction > Tech & Devices
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