H2OMAP Water Scheduler is designed to assist water distribution system operators and training new operators in selecting cost-effective pumping and valve policies to reduce operational and chemical costs, provide more reliable and safer operations, and consistently deliver high quality water. Using the power of Genetic Algorithms (enhanced with advanced Elitist and Global Search Control strategies) and Particle Swarm Optimization, H2OMAP Water Scheduler quickly identifies the optimal operational policy that will best meet your target system hydraulic and water quality performance criteria at maximum cost savings. The operating policy (or schedule) for a pump, valve and pipe (e.g., interzone water transfer, water purchase from an outside agency) represents a set of time-dependent control rules that indicate when a particular pump, valve and pipe or group of pumps, valves and pipes should be turned on or off over a specified period of time (usually 24 hours). The system operational criteria prescribe lower and upper limits on system pressures, tank and water quality (water age) levels, maximum pipe velocities, maximum pump (and valve) flows or volumes, alternative supply sources, and other system constraints aimed at ensuring safe, reliable operations. Both energy consumption ($/kW.h) and demand charges ($/max kW) are considered. H2OMAP Water Scheduler even lets you improve operational performance further with strategies like matching your desired tank trajectory curves (filling and draining cycles), evaluating various rate schedules, and optimizing water quality conditions and storage/pumping tradeoffs. H2OMAP Water Scheduler is designed for on-line applications with various SCADA systems, and can be dynamically driven by an external process or computer program for high-end custom applications. This enables users to directly build, access, and modify model parameters, launch the application, retrieve results, and customize model software to suit their application-specific needs. H2OMAP Water Scheduler lets you evaluate the operational efficiency of your drinking water distribution system with unprecedented precision - and discover new ways of significantly reducing operational and chemical costs and assuring more reliable system performance with the highest quality water. Choose between Genetic Algorithms or Particle Swarm Optimization H2OMAP Scheduler allows you to use Genetic Algorithms optimization or Particle Swarm Optimization for determining the most cost-effective pump scheduling solution. Particle Swarm Optimization (PSO) is the latest advances in population based stochastic optimization techniques, inspired by social behavior of birds. PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches for global minima/maxima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles and land on the best solution. Compared to GA, the main advantages of PSO are that it requires fewer parameters to be adjusted and exhibits faster convergence characteristics. Application Dependent - H2OMAP Water Suite.