This article presents optimization of large-scale solar photovoltaic plants with economic analysis. The includes the design plants, distribution power conditioning units, and several other factors which affect performance throughout their working life. Component arrangements are done to maximize output minimize cost production under-distributed central inverter mode operation. Several techniques have been analyzed, a detailed comparison is presented for levelized economics plants. Economic...

Cloud consists of datacenters with each datacenter having large number physical machines.On top machine a virtual is created.In this paper clustering based solution for VM migrations and consolidation proposed.The proposed best fit placement approach also energy efficient as compared to traditional approach.

Genetic algorithms (GAs) have been used to evolve optimal/sub-optimal solutions of many problems. When using GAs for evolving solutions, often fitness evaluation is the most computationally expensive, and this discourages researchers from applying challenging This paper presents an approach generating offspring based on a local landscape exploration increase speed search better solutions. The proposed algorithm, "Fitness Landscape Exploration Algorithm" (FLEX-GA) can be applied single...

These days photovoltaic panel are the one of main source renewable power. This gives dc power which can be directly used in application. In our daily life we generally work with ac load. Hence an inverter is proposed this paper will provide a robust operation and very simple to implement. A hysteresis current controlled fixed band value load variation determined output THD lower than 5%. Inverter developed three level techniques. Maximum tracking done by constructing artificial neural...

We investigate an evolutionary multi-objective approach to generating micro for real-time strategy games. Good helps a player win skirmishes and is one of the keys developing better game play. In prior work, same maximizing damage done while minimizing received was used evolve group ranged units versus melee units. extend this work consider groups composed from two types Specifically, paper uses optimization generate both another Our behavior representation influence maps represent enemy...

Recent large wildfires and subsequent damage have increased the importance of wildfire monitoring tracking. However, human on ground or in air may be too dangerous we thus investigate deploying Unmanned Aerial Vehicles (UAVs) to track wildfires. Specifically, attack problem distributed autonomous control UAVs using a set potential fields boundaries. A multiobjective evolutionary algorithm searches through space field parameters maximize fire coverage while minimizing energy consumption. Fire...

We use potential fields tuned by genetic algorithms to dynamically reconFigure unmanned aerial vehicles networks serve user bandwidth needs. Such flying network base stations have applications in the many domains needing quick temporary networked communications capabilities such as search and rescue remote areas security defense overwatch scouting. Starting with an initial deployment that covers area discovers how users are distributed across this of interest, specify subsequent movement. A...

Evolutionary Developmental biology (EvoDevo) is a process of directed growth whose mechanisms could be used in an evolutionary algorithm for engineering applications. Engineering design can thought as search through high-dimensional space small number solutions that are optimal by various metrics. Configuring this within EvoDevo may allow developmental processes to provide facility give more immediate, localised feedback the system it grows into its final configuration (form). This approach...

This paper presents VORRT-COLREGs, a hybrid technique that combines velocity obstacles (VO) and rapidly-exploring random trees (RRT) to generate safe trajectories for autonomous surface vessels (ASVs) while following nautical rules of the road. RRT generates set way points method ensures travel between points. We also ensure actions ASVs do not violate maritime collision guidelines. Earlier work has used VO separately paths ASVs. However, does handle highly dynamic situations well seems most...

In recent year's renewable energy sources have become a useful alternative for the power generation. Moreover conventional cause pollution and global warming. this work, sun tracking algorithm is developed to track position receive maximum radiation. DC from solar panel fed buck-boost converter adjustment of voltage at load end. This dc motor. The mathematical modelling system component done in MATLAB code. For point artificial intelligent tools such as fuzzy logic (FL) used. proposed two...

Advancements in UAVs have enabled them to act as flying access points that can be positioned create an interconnected wireless network complex environments. The primary aim of such networks is provide bandwidth coverage users on the ground case emergency or natural disaster when existing infrastructure unavailable. However, optimal UAV placement for creating ad hoc NP-hard and challenging problem because UAV’s communication range, unknown users’ distribution, differing user requirements....

Engineering design has traditionally involved human engineers manually creating and iterating on designs based their expertise knowledge. In Bio-inspired Evolutionary Development (EvoDevo), generative algorithms are used to ex-plore a much larger space that may not have ever been considered by engineers. However, for complex systems, the designer is often required start EvoDevo process with an initial (seed) which development will optimise. The question is: good starting seed yield set of...

In recent year's renewable energy sources have become a useful alternative for the power generation. Moreover conventional cause pollution and global warming. this work, sun tracking algorithm is developed to track position receive maximum radiation. DC from solar panel fed buck-boost converter adjustment of voltage at load end. The mathematical modeling system component done in MATLAB code. For point artificial intelligent tools such as neural network (ANN) used. proposed two control...

We compare three promising approaches to micromanaging units in real-time strategy games. These span the range from easily understandable meta-search, which uses genetic algorithms search through space of parameters a human specified control algorithm pure potential fields, searches less field parameter values, neuro-evolution augmented topologies evolves an opaque difficult understand neural network. All use two-objective pareto optimal fitness function that maximizes damage done opponent...

Evolutionary approaches to engineering design involve generating populations of candidate solutions that compete via a selection process iteratively, improve measures performance over many generations. Although the attractive properties biological evolutionary systems have motivated researchers investigate emulating them for design, there has been an emphasis on using encodings technical artefacts themselves, rather than encoding complete bio-inspired system which is capable producing such...

Abstract Engineering design optimization poses a significant challenge, usually requiring human expertise to discover superior solutions. Although various search techniques have been employed generate diverse designs, their effectiveness is often limited by problem-specific parameter tuning, making them less generalizable and scalable. This article introduces framework inspired evolutionary developmental (evo-devo) concepts, aiming automate the evolution of structural engineering designs. In...

We attack the problem of dynamic UAV-based ad-hoc mesh network deployment to find and connect people in an area interest. Genetic algorithms tune parameters potential fields that control UAV movement order optimize coverage longevity. extend earlier work assumed one-hop communication between UAVs more realistic two-hop case significant increase Experimental results show enabling communications improves performance on average 4% 32.19%.

We investigate an evolutionary multi-objective approach to good micro for real-time strategy games. Good helps a player win skirmishes and is one of the keys developing better game play. In prior work, same maximizing damage done while minimizing received was used evolve group ranged units versus melee units. extend this work consider groups composed from two types Specifically, paper uses optimization generate both another Our behavior representation influence maps represent enemy spatial...

Linear Predictive Coding is applied for transmitting the samples in a binary system consisting of (+1,-1). This provides unified method encoding signed quantities. All pole filters used LPC have been achieved with different algorithms. this found to be suitable numbers way.

Controlling large numbers of heterogeneous agents in dynamic environments has a number civilian and defense applications, but presents challenges cooperation among decision making uncertain environments. This paper investigates new problem representation using genetic algorithm tuned potential fields multi-objective formulation that evolves distributed control for cooperating competing Using real-time strategy game-like simulation as test-bed, results show the proposed approach scales to...