Nature-Inspired Cooperative Strategies for Optimization

Abstract

Biological entities (ranging from bacteria to humans) can engage in many and varied types of social interaction, from altruistic cooperation to open conflict. A paradigmatic case of social interaction is cooperative problem solving (CPS), where a group of autonomous entities work together to achieve a common goal. For example, we might find a group of people working together to move a heavy object, play a symphony, choose a business strategy, or write a joint paper. CPS has been studied by researchers from a variety of areas such as distributed A. I., soft computing, economics, philosophy, organization science, and the social and natural sciences among others.

Optimizing Photovoltaic Solar Model Parameters

“…The soldiers, akin to algorithmic elements, adjust their positions based on cues from their leaders. a) Random Attack: [19] In this phase, the troops, representing algorithmic elements, are randomly distributed to attack the opposing army. The strongest individual, akin to the army chief, leads the various units.…”

“…The troops dynamically change their position based on the positions of the King and the Commander, akin to adjusting algorithm parameters. [19] c) Signaling by Drums: The King, or the best solution, gives orders to change the strategy based on the situation. The soldiers, or algorithmic elements, adopt a new strategy and adjust their positions based on these signals.…”

Automatic Generation Control of a Multi-Area Hybrid Renewable Energy System Using a Proposed Novel GA-Fuzzy Logic Self-Tuning PID Controller

“…SI algorithms: They often mimic the social behavior of swarms, herds, and flocks in nature. Some of the algorithms are PSO, ACO, the ABC and the Bat-inspired Algorithm (BA) [43], and Grey Wolf Optimization (GWO) [44]. According to the No Free Lunch (NFL) theorem, no meta-heuristic can solve all optimization problems.…”