This paper proposes a novel approach called the Harris’s Hawk Multi-Objective Optimizer (HHMO), which is used for solving reference point multi-objective problems. This algorithm is based on the grey wolf multi-objective optimization algorithm and motivated by the cooperative hunting behaviors of the Harris’s Hawk. These hawks are known as the wolf pack of the sky. The hunting party consists of...

The revolution of IoT and its capabilities to serve various fields led generating a large amount data for processing. Tasks that require an instant response, especially with sensitive delay tasks send the fog node due close distance, complex transfer cloud center huge computation storage. However, sending decreases transmission delay. Still, it increases energy consumption end users, while tran...

Various ranging techniques are frequently employed in wireless sensor networks (WSNs) to determine the distance between a node and its neighboring anchor nodes. The measurement, as mentioned earlier is subsequently estimate location of whose unknown. present paper presents an Accurate Localization Scheme that utilizes Grey Wolf Optimization (GWO) based on Radio Signal Strength (RSS) technique. ...

Real World is filled with various hard and complex problems. One such complex problem is an optimization problem. Optimization has been an active area of research for several decades. . Optimized solutions are hard to find so there are no deterministic algorithms that can find exact solution in polynomial time. In large domain of applications of intelligence techniques we are interested in expl...

Hybridization of two or more variants algorithms is the recent trend research field. With help a hybridized algorithm we try to find out better optimal solution and solve various optimization applications. In this paper, new approach Advancement on Grey Wolf Optimization with Fitness Based Self Adaptive Differential Evolution (AGWO-FSADE) proposed. populations are calculated using self adaptive...